Presentation of the FI-PPP use case projects SmartAgriFood and FIspace to a group of Agri-Food and ICT stakeholders in the Netherlands that are potentially interested in the open call in the FIspace project and phase 3 projects.
Digitalisation in AgriFood - Cologne - March 19, 2018EIT Food
The document discusses the opportunities for digitalization across the food value chain to address challenges like environmental impact, food waste, and inefficiencies. It notes that digital technologies could help optimize resource usage, connect actors across the supply network, and generate a $4 trillion revenue opportunity by 2020. However, realizing this potential will require innovative solutions and strategies to digitally transform processes from farm to fork.
This document discusses content management as a driver of successful e-business. It addresses:
1. The growing volume and complexity of unstructured content like documents and emails that businesses must manage.
2. How content management can integrate front-end applications like e-commerce with back-end infrastructure and fulfillment.
3. Trends moving from document management to a broader approach of content management and how it relates to technologies like web content management and enterprise content management.
Navigating the twilight zone - pathways towards digital transformation of foo...Sjaak Wolfert
The document discusses navigating the "Twilight Zone" of digital transformation in food systems. It outlines the need for a paradigm shift from standalone applications to integrated systems involving multiple stakeholders. It proposes looking through 5 lenses: business models in the data economy, responsible data sharing, digital inclusiveness, integrative artificial intelligence, and cross-sectoral integration. An integrated approach is suggested involving stakeholders from design to evaluation, with alignment of public and private funding to support digital innovation projects in the Twilight Zone.
Digital innovation for sustainable food systemsSjaak Wolfert
This presentation will show that digital solutions help addressing multiple sustainability issues, particularly illuminating how producers and consumers can use digitalisation to support a transition towards healthier diets.
oversea
This is the presentation on understanding the SmartAgriHubs project that I gave at the kick-off event in Prague, Czech Republic on the 5th of March 2019. It starts with the background of the Digital Transformation that is going on in the Agri-Food sector. Then the objective is decribed followed by the 5 basic concepts that are the basis of this project: Digital Innovation Hubs, Innovation Expriments, Competence Centers, Innovation Portal and the Innovation Services Maturity Model. Next, the project approach and work package structure are explained. The presentation is concluded by the most important KPIs and numbers of the project.
WUR-ICT supports agri-food businesses in implementing ICT solutions through analysis of challenges, design of solutions, and iterative development through pilots. Emerging technologies like IoT, big data, and AI present opportunities for innovation if governance and business models can address issues like privacy, ownership, and ecosystem coordination. The IOF2020 project aims to accelerate large-scale IoT adoption through integrating technologies, ensuring user acceptance, and developing sustainable solutions across Europe.
Presentation on IT and Resilience for the DEFRA-AES conferenceKrijn Poppe
The document discusses the potential for data and IT technology to improve resilience in the food supply chain. It notes two weak spots in the current chain - input industries and farmers. It then provides examples of how emerging technologies like IoT, big data, and digital platforms could be applied in agriculture. However, it also notes current bottlenecks around connectivity, compatibility, and data governance that limit their adoption. It proposes that governments could help by supporting startups, regulating algorithms and competition, and creating a shared data platform or "dashboard" to give farmers better access and control over their own agricultural and sustainability data.
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
This is a presentation about the background, development and state-of-the-art of large ICT-projects in Agri-Food that are going on in Europe: Internet of Food and Farm 2020 (IoF2020) and SmartAgriHubs.
Digitalisation in AgriFood - Cologne - March 19, 2018EIT Food
The document discusses the opportunities for digitalization across the food value chain to address challenges like environmental impact, food waste, and inefficiencies. It notes that digital technologies could help optimize resource usage, connect actors across the supply network, and generate a $4 trillion revenue opportunity by 2020. However, realizing this potential will require innovative solutions and strategies to digitally transform processes from farm to fork.
This document discusses content management as a driver of successful e-business. It addresses:
1. The growing volume and complexity of unstructured content like documents and emails that businesses must manage.
2. How content management can integrate front-end applications like e-commerce with back-end infrastructure and fulfillment.
3. Trends moving from document management to a broader approach of content management and how it relates to technologies like web content management and enterprise content management.
Navigating the twilight zone - pathways towards digital transformation of foo...Sjaak Wolfert
The document discusses navigating the "Twilight Zone" of digital transformation in food systems. It outlines the need for a paradigm shift from standalone applications to integrated systems involving multiple stakeholders. It proposes looking through 5 lenses: business models in the data economy, responsible data sharing, digital inclusiveness, integrative artificial intelligence, and cross-sectoral integration. An integrated approach is suggested involving stakeholders from design to evaluation, with alignment of public and private funding to support digital innovation projects in the Twilight Zone.
Digital innovation for sustainable food systemsSjaak Wolfert
This presentation will show that digital solutions help addressing multiple sustainability issues, particularly illuminating how producers and consumers can use digitalisation to support a transition towards healthier diets.
oversea
This is the presentation on understanding the SmartAgriHubs project that I gave at the kick-off event in Prague, Czech Republic on the 5th of March 2019. It starts with the background of the Digital Transformation that is going on in the Agri-Food sector. Then the objective is decribed followed by the 5 basic concepts that are the basis of this project: Digital Innovation Hubs, Innovation Expriments, Competence Centers, Innovation Portal and the Innovation Services Maturity Model. Next, the project approach and work package structure are explained. The presentation is concluded by the most important KPIs and numbers of the project.
WUR-ICT supports agri-food businesses in implementing ICT solutions through analysis of challenges, design of solutions, and iterative development through pilots. Emerging technologies like IoT, big data, and AI present opportunities for innovation if governance and business models can address issues like privacy, ownership, and ecosystem coordination. The IOF2020 project aims to accelerate large-scale IoT adoption through integrating technologies, ensuring user acceptance, and developing sustainable solutions across Europe.
Presentation on IT and Resilience for the DEFRA-AES conferenceKrijn Poppe
The document discusses the potential for data and IT technology to improve resilience in the food supply chain. It notes two weak spots in the current chain - input industries and farmers. It then provides examples of how emerging technologies like IoT, big data, and digital platforms could be applied in agriculture. However, it also notes current bottlenecks around connectivity, compatibility, and data governance that limit their adoption. It proposes that governments could help by supporting startups, regulating algorithms and competition, and creating a shared data platform or "dashboard" to give farmers better access and control over their own agricultural and sustainability data.
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
This is a presentation about the background, development and state-of-the-art of large ICT-projects in Agri-Food that are going on in Europe: Internet of Food and Farm 2020 (IoF2020) and SmartAgriHubs.
Governance of Data Sharing in Agri-Food - towards common guidelinesSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented, aiming at improving farm and chain performance. Many companies are refraining from sharing data because of the fear of governance issues such as data security, privacy and liability. Moreover, they are often in a deadlock or afraid to take the first step even though they expect to develop new business with data. To accelerate the development of Big Data applications, this paper analyses governance issues and introduces a set of guidelines for governance of data sharing in agri-food networks. A framework for analysis was derived from literature and used to identify lessons learned from recent projects or initiatives. From these results, a set of draft guidelines was developed. The framework and guidelines were evaluated in a workshop. The framework consists of factors that are related to governance on data sharing in networks. Internal factors are: efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency. External factors are: political, economic, social, technological, legal and environmental factors. For each of these factors, guidelines are provided in terms of: issues to be addressed, best practices and lessons learned from other projects and initiatives. It is concluded that the framework is complete in covering all relevant issues on governance in data sharing but the guidelines must be considered as a first set, which can be further improved and extended in the future. A wiki-type-of-website could help to upscale the guidelines at a global level. The guidelines could also be further refined accounting for different maturity levels of agri-food networks. The guidelines in this paper are considered to be a valuable step into the direction of solving governance issues in data sharing, which is expected to accelerate Big Data applications in the agri-food domain.
TECHNOLOGY FORESIGHT: Integration of FinTech and Agriculture for the Philippi...Edneil Jocusol
This is a technology foresight using the Scenario Planning method that addresses the focal issue: "How can we integrate fintech and agriculture so that low-cost and/or appropriately priced financial instruments and services are more accessible to PH farmers by the year 2027?" The Philippines remains as one of the top agricultural producers of the world. According to IndexMundi, the Philippines ranked 22nd in terms of agricultultural production with around USD 30.7 billion value of output created in 2018. The Philippines has 30 million hectares of land area, where 23 percent is agricultural land (Philippine Statistics Authority, 2017). The estimated contribution of the sector in the Gross Domestic Product (GDP) of the country is around 10 percent. However, the sector’s contribution to the GDP contributed by the sector is continually decreasing (Philippine Statistics Authority, 2021). The Philippines is in the best position to have an agriculture-driven economy. But the sight of it is far beyond as the sector has been pressed with persistent challenges. In order to conduct the technology foresight for the Agrifintech, three scenarios were created based on the identified Key Predictable Variables (KPV) and Critical Uncertainties (CU) which were clustered together to separate the high-impact, high uncertainty from the high-impact, low-uncertainty graph points.
Digital technologies are becoming increasingly important for agriculture but developments are fragmented. SmartAgriHubs aims to connect stakeholders across disciplines and sectors to foster collaboration. It will establish a network of Digital Innovation Hubs and Competence Centers across Europe to support the digital transformation of agri-food through multi-actor innovation experiments. The goal is to address sustainability challenges and bring more digital solutions to market at scale.
The SmartAgriHubs project enables a broad digital transformation of the European farming and food sector. With a €20 million budget co-funded by the European Union, the project aims to build an extensive pan-European network of Digital Innovation Hubs (DIHs). The project starts today on November 1st, 2018. This presentation describes the project's objective and method that is used to reach these objectives.
DATA-FAIR - value creation by data sharing in agri-food businessSjaak Wolfert
The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data.
Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor.
Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce.
Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector.
DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created.
In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project.
DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.
Big data and new technologies are making agriculture more data-driven and virtualized. This could lead to two scenarios for farmers: 1) becoming contractors with limited freedom in integrated supply chains, or 2) being empowered through open collaboration and more direct sales. In reality it will likely be somewhere in between. New platforms and apps are needed to facilitate data exchange and sharing between stakeholders in agricultural supply chains. This could impact the nature of farming and provide both opportunities and risks for different players.
A delegation from John Deere (Mannheim) visited WageningenUR to discuss research trends and explore opportunities to collaborate in the future. FIspace was presented as a possibility to collaborate on ICT development.
Visualizing and gamifying consumption data for resource savingencompassH2020
Visualizing and gamifying consumption data for resource saving: challenges, lessons learnt and a research agenda for the future.
enCOMPASS presentation at the 8th DACH+ Conference on Energy Informatics, Salzburg, Austria, September 2019
This document summarizes a GAIA applications project that will develop several digital applications and an educational kit to promote energy awareness and savings. It will involve 9 partners across 3 countries over 3 years with a budget of €1.775M. The applications will target various users, including students, teachers, and administrators, and will include a serious game, building monitoring portal, social media tools, and educational kit with sensors. User testing will take place between 2017-2018 before broader deployment. User data will be anonymized and stored according to privacy and data protection protocols.
The document discusses open access to agricultural data. It argues that opening access to data at multiple levels, from macro-level external data to micro-level farm data, could significantly increase farmer profitability. However, ensuring interoperability between data sources is challenging, especially for poor farmers. The document advocates for public-private partnerships to share data in a way that increases profits and environmental protection while allowing governments to better influence food production.
NEUROPUBLIC is a Greek company founded in 2003 that provides digital services for agriculture. It has established a coalition with farming organizations and a bank to support Greek agriculture through open data and technology. This coalition formed GAIA Business S.A., which offers various services to farmers through its GAIA cloud platform and network of environmental sensor stations. NEUROPUBLIC is building new business models and data-powered services for agriculture using open data sources like Copernicus data, remote sensing data, and data collected from its sensor network.
The document summarizes Distributech 2019, an annual conference that took place February 4-7, 2019 in New Orleans, Louisiana. Some key details:
- Over 12,000 attendees from 75 countries, including 1,648 international attendees
- 327 energy and water utility companies and 540 exhibiting companies
- Sessions covered topics like asset management, customer strategies, data analytics, emerging technologies, distribution automation, energy storage and more.
- Presentations and tours included a 1 MW solar farm by Entergy, keynotes from utility executives, and sessions on microgrids, cybersecurity, electrification of transportation, and more.
Key insights from ICTFOOTPRINT.eu Policy Action Plan & Sustainability RoadmapICT FOOTPRINT .eu
The document summarizes a final event from the ICTFOOTPRINT.eu project, which aimed to overcome barriers to adopting ICT footprint calculation methodologies in Europe. It identifies key barriers like lack of awareness, knowledge, and strategy on sustainable ICT. The event concluded that the EU needs a strategy to reduce environmental impacts of the ICT sector through products, services, and organizations. It then outlines recommendations in three categories: 1) increase awareness and knowledge of ICT impacts, 2) convince ICT stakeholders of benefits from reducing impacts, and 3) facilitate commitment to a greener ICT sector through policies, incentives, and continuous communication.
This document outlines an "Insight as a Service" architecture for smarter agriculture using data collection, analytics, and decision support. It describes collecting data from various sources like sensors, weather, and social media and analyzing it using IBM technologies like Watson and cloud services. The goal is providing insights and recommendations to help farmers increase yields, optimize costs, and improve farm management.
The goal of the SC2 Pilot is to demonstrate the ability of Big Data technologies to complement existing community-driven systems (e.g. VITIS for the Viticulture Research Community) with efficient large-scale back-end processing workflows.
This document summarizes an NGO called AGIT that promotes sustainable digital services. AGIT brings together green IT companies and third parties, educates organizations on sustainable ICT issues, and participates in creating standards and regulations. Some of AGIT's publications include a white paper on ecodesign of digital services and an annual green IT best practices barometer survey. The white paper on ecodesign of digital services aims to help users understand ecodesign issues and potential, provide keys to differentiating real solutions from greenwashing, and outline benefits like reduced environmental impacts and costs. Two projects have resulted from the white paper, including helping 30 SMEs integrate ecodesign into their digital services and developing tools to evaluate the
This document discusses the need for exploring ethics and responsible practice regarding location data. It notes that location data technologies are improving and being integrated into many services, creating both opportunities and risks. While location has not been a major focus of data ethics debates, it will come under increased scrutiny. The document proposes developing a "Locus Charter" to establish principles for responsible location data use. It provides context on related initiatives and outlines priorities around privacy, politics, empowering communities, and the environment. The charter aims to provide practical guidance for practitioners to help ensure location data is used ethically.
Agroknow presentation of the current analysis of the legal interoperability in the fishery and marine sciences domain. The presentation was made in the EGI ENGAGE workshop, organised by the FAO Fisheries and Aquaculture Department.
FI-PPP SmartAgriFood and FIspace at IoT China 2013Sjaak Wolfert
This document summarizes a presentation about future internet business collaboration networks in agri-food, transport, and logistics. It discusses how information and communication technologies (ICT) are crucial drivers of innovation in multi-dimensional agri-food supply chain networks. It then describes the EU Future Internet Public-Private Partnership program and two projects it has funded - SmartAgriFood and FIspace. SmartAgriFood aims to boost the use of future internet technologies in agri-food through various pilots. FIspace aims to facilitate seamless cross-organizational collaboration and transparency through a platform integrating different technologies.
The Future Internet for Agri-Food Business CollaborationSjaak Wolfert
This document discusses the future role of information and communication technologies (ICT) in the agri-food sector. It summarizes several ongoing and past EU projects that aim to develop ICT solutions for agriculture and food supply chains. These include using sensors, cloud services, and social media to connect stakeholders and enable precision agriculture, monitoring of supply chains, and tailored information for consumers. The document outlines the FI-PPP initiative and several projects under it including SmartAgriFood and FIspace, which are developing ICT platforms and pilots cases across the agri-food sector to improve collaboration, transparency, and innovation through a future internet approach.
Governance of Data Sharing in Agri-Food - towards common guidelinesSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented, aiming at improving farm and chain performance. Many companies are refraining from sharing data because of the fear of governance issues such as data security, privacy and liability. Moreover, they are often in a deadlock or afraid to take the first step even though they expect to develop new business with data. To accelerate the development of Big Data applications, this paper analyses governance issues and introduces a set of guidelines for governance of data sharing in agri-food networks. A framework for analysis was derived from literature and used to identify lessons learned from recent projects or initiatives. From these results, a set of draft guidelines was developed. The framework and guidelines were evaluated in a workshop. The framework consists of factors that are related to governance on data sharing in networks. Internal factors are: efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency. External factors are: political, economic, social, technological, legal and environmental factors. For each of these factors, guidelines are provided in terms of: issues to be addressed, best practices and lessons learned from other projects and initiatives. It is concluded that the framework is complete in covering all relevant issues on governance in data sharing but the guidelines must be considered as a first set, which can be further improved and extended in the future. A wiki-type-of-website could help to upscale the guidelines at a global level. The guidelines could also be further refined accounting for different maturity levels of agri-food networks. The guidelines in this paper are considered to be a valuable step into the direction of solving governance issues in data sharing, which is expected to accelerate Big Data applications in the agri-food domain.
TECHNOLOGY FORESIGHT: Integration of FinTech and Agriculture for the Philippi...Edneil Jocusol
This is a technology foresight using the Scenario Planning method that addresses the focal issue: "How can we integrate fintech and agriculture so that low-cost and/or appropriately priced financial instruments and services are more accessible to PH farmers by the year 2027?" The Philippines remains as one of the top agricultural producers of the world. According to IndexMundi, the Philippines ranked 22nd in terms of agricultultural production with around USD 30.7 billion value of output created in 2018. The Philippines has 30 million hectares of land area, where 23 percent is agricultural land (Philippine Statistics Authority, 2017). The estimated contribution of the sector in the Gross Domestic Product (GDP) of the country is around 10 percent. However, the sector’s contribution to the GDP contributed by the sector is continually decreasing (Philippine Statistics Authority, 2021). The Philippines is in the best position to have an agriculture-driven economy. But the sight of it is far beyond as the sector has been pressed with persistent challenges. In order to conduct the technology foresight for the Agrifintech, three scenarios were created based on the identified Key Predictable Variables (KPV) and Critical Uncertainties (CU) which were clustered together to separate the high-impact, high uncertainty from the high-impact, low-uncertainty graph points.
Digital technologies are becoming increasingly important for agriculture but developments are fragmented. SmartAgriHubs aims to connect stakeholders across disciplines and sectors to foster collaboration. It will establish a network of Digital Innovation Hubs and Competence Centers across Europe to support the digital transformation of agri-food through multi-actor innovation experiments. The goal is to address sustainability challenges and bring more digital solutions to market at scale.
The SmartAgriHubs project enables a broad digital transformation of the European farming and food sector. With a €20 million budget co-funded by the European Union, the project aims to build an extensive pan-European network of Digital Innovation Hubs (DIHs). The project starts today on November 1st, 2018. This presentation describes the project's objective and method that is used to reach these objectives.
DATA-FAIR - value creation by data sharing in agri-food businessSjaak Wolfert
The digitization of society makes data more important. This is enhanced by the Internet of Things (IoT) in which a variety of devices, sensors and the like are connected via the Internet together and deliver real-time data.
Many companies see data as the way to generate new business, also in the agri-food sector. However, the added value is only created when multiple data sources are combined, aggregated and analyzed. The sharing of data between companies in the chain is therefore a critical success factor.
Although several initiatives to share data have been initiated, this development seems to be stagnating. Now the agribusinesses are mainly developing their own proprietary platforms, resulting in a maze of platforms which makes it technically difficult to exchange data between different systems and devices. This causes rather more administrative burdens than they reduce.
Exchange of data between platforms and applications is currently inhibited because of discussions about ownership of data, privacy, fear of concentration of power in the chain and the lack of clear business models where added value of data sharing is distributed among the various stakeholders. Now it seems that the benefit to the primary producers - the farmers - is minimal and the agri-business seems to benefit most. This creates resistance to sharing data that inhibits innovations that ultimately serve the interests of the farmer and the competitiveness of the whole agri-food sector.
DATA-FAIR breaks this deadlock and will accelerate innovation by hosting several large-scale trials with companies and Wageningen Research in which applications are developed where data between various platforms is shared and value is created.
In these trials, the farmer plays a central role as a main supplier and manager of data. He or she determines who may use which data and under what conditions. Digital permissions will play an important role enabled by a central register (e.g. AgriTrust). Also, special attention is paid to the development of attractive and transparent business models and good organizational embedding (governance) so that the results will continue to exist after the project.
DATA-FAIR doesn’t create a new platform itself, but uses existing building blocks and will help improving these if necessary. Here one can think of open application interfaces (APIs) and standards to link platforms and databases. DATA-FAIR builds on experiences with existing data hubs such as EDI-Circle and AgriPlace.
Big data and new technologies are making agriculture more data-driven and virtualized. This could lead to two scenarios for farmers: 1) becoming contractors with limited freedom in integrated supply chains, or 2) being empowered through open collaboration and more direct sales. In reality it will likely be somewhere in between. New platforms and apps are needed to facilitate data exchange and sharing between stakeholders in agricultural supply chains. This could impact the nature of farming and provide both opportunities and risks for different players.
A delegation from John Deere (Mannheim) visited WageningenUR to discuss research trends and explore opportunities to collaborate in the future. FIspace was presented as a possibility to collaborate on ICT development.
Visualizing and gamifying consumption data for resource savingencompassH2020
Visualizing and gamifying consumption data for resource saving: challenges, lessons learnt and a research agenda for the future.
enCOMPASS presentation at the 8th DACH+ Conference on Energy Informatics, Salzburg, Austria, September 2019
This document summarizes a GAIA applications project that will develop several digital applications and an educational kit to promote energy awareness and savings. It will involve 9 partners across 3 countries over 3 years with a budget of €1.775M. The applications will target various users, including students, teachers, and administrators, and will include a serious game, building monitoring portal, social media tools, and educational kit with sensors. User testing will take place between 2017-2018 before broader deployment. User data will be anonymized and stored according to privacy and data protection protocols.
The document discusses open access to agricultural data. It argues that opening access to data at multiple levels, from macro-level external data to micro-level farm data, could significantly increase farmer profitability. However, ensuring interoperability between data sources is challenging, especially for poor farmers. The document advocates for public-private partnerships to share data in a way that increases profits and environmental protection while allowing governments to better influence food production.
NEUROPUBLIC is a Greek company founded in 2003 that provides digital services for agriculture. It has established a coalition with farming organizations and a bank to support Greek agriculture through open data and technology. This coalition formed GAIA Business S.A., which offers various services to farmers through its GAIA cloud platform and network of environmental sensor stations. NEUROPUBLIC is building new business models and data-powered services for agriculture using open data sources like Copernicus data, remote sensing data, and data collected from its sensor network.
The document summarizes Distributech 2019, an annual conference that took place February 4-7, 2019 in New Orleans, Louisiana. Some key details:
- Over 12,000 attendees from 75 countries, including 1,648 international attendees
- 327 energy and water utility companies and 540 exhibiting companies
- Sessions covered topics like asset management, customer strategies, data analytics, emerging technologies, distribution automation, energy storage and more.
- Presentations and tours included a 1 MW solar farm by Entergy, keynotes from utility executives, and sessions on microgrids, cybersecurity, electrification of transportation, and more.
Key insights from ICTFOOTPRINT.eu Policy Action Plan & Sustainability RoadmapICT FOOTPRINT .eu
The document summarizes a final event from the ICTFOOTPRINT.eu project, which aimed to overcome barriers to adopting ICT footprint calculation methodologies in Europe. It identifies key barriers like lack of awareness, knowledge, and strategy on sustainable ICT. The event concluded that the EU needs a strategy to reduce environmental impacts of the ICT sector through products, services, and organizations. It then outlines recommendations in three categories: 1) increase awareness and knowledge of ICT impacts, 2) convince ICT stakeholders of benefits from reducing impacts, and 3) facilitate commitment to a greener ICT sector through policies, incentives, and continuous communication.
This document outlines an "Insight as a Service" architecture for smarter agriculture using data collection, analytics, and decision support. It describes collecting data from various sources like sensors, weather, and social media and analyzing it using IBM technologies like Watson and cloud services. The goal is providing insights and recommendations to help farmers increase yields, optimize costs, and improve farm management.
The goal of the SC2 Pilot is to demonstrate the ability of Big Data technologies to complement existing community-driven systems (e.g. VITIS for the Viticulture Research Community) with efficient large-scale back-end processing workflows.
This document summarizes an NGO called AGIT that promotes sustainable digital services. AGIT brings together green IT companies and third parties, educates organizations on sustainable ICT issues, and participates in creating standards and regulations. Some of AGIT's publications include a white paper on ecodesign of digital services and an annual green IT best practices barometer survey. The white paper on ecodesign of digital services aims to help users understand ecodesign issues and potential, provide keys to differentiating real solutions from greenwashing, and outline benefits like reduced environmental impacts and costs. Two projects have resulted from the white paper, including helping 30 SMEs integrate ecodesign into their digital services and developing tools to evaluate the
This document discusses the need for exploring ethics and responsible practice regarding location data. It notes that location data technologies are improving and being integrated into many services, creating both opportunities and risks. While location has not been a major focus of data ethics debates, it will come under increased scrutiny. The document proposes developing a "Locus Charter" to establish principles for responsible location data use. It provides context on related initiatives and outlines priorities around privacy, politics, empowering communities, and the environment. The charter aims to provide practical guidance for practitioners to help ensure location data is used ethically.
Agroknow presentation of the current analysis of the legal interoperability in the fishery and marine sciences domain. The presentation was made in the EGI ENGAGE workshop, organised by the FAO Fisheries and Aquaculture Department.
FI-PPP SmartAgriFood and FIspace at IoT China 2013Sjaak Wolfert
This document summarizes a presentation about future internet business collaboration networks in agri-food, transport, and logistics. It discusses how information and communication technologies (ICT) are crucial drivers of innovation in multi-dimensional agri-food supply chain networks. It then describes the EU Future Internet Public-Private Partnership program and two projects it has funded - SmartAgriFood and FIspace. SmartAgriFood aims to boost the use of future internet technologies in agri-food through various pilots. FIspace aims to facilitate seamless cross-organizational collaboration and transparency through a platform integrating different technologies.
The Future Internet for Agri-Food Business CollaborationSjaak Wolfert
This document discusses the future role of information and communication technologies (ICT) in the agri-food sector. It summarizes several ongoing and past EU projects that aim to develop ICT solutions for agriculture and food supply chains. These include using sensors, cloud services, and social media to connect stakeholders and enable precision agriculture, monitoring of supply chains, and tailored information for consumers. The document outlines the FI-PPP initiative and several projects under it including SmartAgriFood and FIspace, which are developing ICT platforms and pilots cases across the agri-food sector to improve collaboration, transparency, and innovation through a future internet approach.
Presentation for a Chinese delegation from the Fujian province that did a study tour in The Netherlands. I presented the work LEI Wageningen UR is doing on Information Management & ICT in Agri-Food by highlighting project work.
Presentation on ICT trends in developments and what this means for the agri-food business, focussing on the FIspace platform. The presentation was part of the mastercourse Hortibusiness in which about 20 entrepreneurs from the horticultural business are participating.
EU ICT developments for AgGateway Europe 7apr2016Sjaak Wolfert
This document summarizes a presentation on European ICT developments and infrastructure for the agriculture and food industry. It discusses trends like mobile/cloud computing, location monitoring, social media, and the internet of things that are disrupting the industry. It presents concepts for common data exchange facilities and platforms to enable collaboration. Finally, it outlines several EU projects and networks working on these issues and discusses next steps around developing open architectures and infrastructure for the internet of things in agriculture.
This document summarizes the FIspace project, which aims to facilitate seamless cross-organizational collaboration, transparency, and development of customized applications in various industries including agri-food, transport, and logistics using Internet-connected sensors and machine-to-machine communication. The FIspace platform will allow real-time B2B collaboration and trials across Europe. The project has associated partners from various countries and industries and plans three development and validation cycles to release platform updates and domain applications.
This presentation was held at the FI-PPP phase 3 workshop, 6-7 March in Brussels. Especially explaining how and on what conditions phase 3 projects can use the FIspace platform.
FIWARE Successes in Agriculture
The document summarizes successes with the FIWARE platform in supporting agriculture and food applications. It describes several phases of projects using FIWARE for smart farming, logistics, and food applications. Examples are provided of promising applications developed in these projects, including sensors for crop monitoring, livestock monitoring, financial analysis tools, and more. It also discusses trends in ICT and opportunities for data sharing platforms to support open collaboration in the agriculture sector.
Future Internet and the FIspace Platform for Agri-Food business at WCCA2014Sjaak Wolfert
Presentation that was held at the World Congress on Computers in Agriculture and Natural Resources, 29 July 2014 San Jose, Costa Rica.
I presented work from all 3 phases of the FI-PPP program and how we started this from projects in The Netherlands.
Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.
FIspace and SmartAgriFood at Dutch network meeting with SMEsSjaak Wolfert
I presented FIspace and SmartAgriFood and the whole context of the Future Internet PPP at a network meeting at the Chamber of Commerce in Amsterdam, co-organized by the Ducht Organisation for Scientific Research (NWO). The meeting was attended by ICT developers, end users from Agri-Food business and researchers. In total about 50 participants
FIspace for Executive Board of Directors of Wageningen URSjaak Wolfert
This document discusses the future of data and information flows in the agri-food sector enabled by disruptive ICT trends. In the future, a farmer or consumer can also act as a researcher by using ICT to gain more control over production and measure sustainability, ensuring transparency. New business models and connections between regional producers and consumers can be developed. The Dutch agri-food sector can export new ICT-enabled equipment and services globally to support more sustainable production. Living labs and open innovation are discussed as ways to develop new applications and solutions through collaboration between industries, ICT businesses, and research organizations.
FIspace is a collaboration facility built using FI-PPP that allows firms, especially small- and medium-sized enterprises (SMEs), to connect and exchange data. It aims to facilitate B2B collaboration and data sharing across organizations involved in agri-food, transport, and logistics chains. FIspace delivers a platform for real-time B2B collaboration, applications from an app store, and configurable collaborative workflows. It is being tested and validated in trials focused on sectors like crop protection, greenhouse management, fish distribution, and food traceability. The platform is designed to support software mass customization through configuration and extension of collaborative workflows and apps.
ICRISAT Global Planning Meeting 2019: Digital Agriculture and Youth by Ram Dh...ICRISAT
The document discusses frameworks for understanding digital agriculture and emerging business models. It provides an overview of Porter's value chain framework and challenges for farms. It then presents canvases for how ICTs can be applied in agriculture across different actors and activities. These include knowledge intermediaries, government departments, distribution channels, agricultural marketing structures, and farm operations. The document outlines an innovation spectrum from digitization to disruption enabled by technologies like AI, ML, and big data. It provides examples across research/extension, peer collaboration, governance platforms, risk/monitoring, markets, and operations. Finally, it discusses ICRISAT's digital agriculture innovation platform iHUB, its portfolio and achievements, learnings, and plans for 2019-2021
Similaire à Wolfert FIspace AgroConnect seminar 27may2013 (20)
The Internet of Things for Food - An integrated socio-economic and technologi...Sjaak Wolfert
The document discusses the use of Internet of Things (IoT) technologies for food and agriculture. It outlines four key areas where digital transformation is occurring: cloud computing, big data, analytics, and IoT. An integrated socio-economic and technological approach is needed to address issues like food integrity, decision making, public policy, and science. Case studies are presented on using IoT tools to optimize sustainable wine production and measure sustainability metrics like water and pesticide use per bottle. Developing data-driven innovation ecosystems requires addressing technical, organizational, business modeling, and governance challenges.
The outline of this presentation consists of three parts. First, I will describe the trends and developments concerning the digital transformation of the agri-food sector. This will conclude with the definition of the innovation challenge for digital innovation in this sector. Then I will introduce an integrated innovation approach to address this challenge. Finally, I will use a real-life example from pig production to illustrate how this approach works in practice. Finally, I will end up with some conclusions.
I showed how the digital transformation of the agri-food sector is taking place and that there is a clear potential for sustainable food systems. Through the digital transformation a lot of data is produced which can be used for multiple purposes. You have learned that digital innovation is not only about technology, but that technical and organizational issues should be addressed, at the same time. Therefore, digital innovation should take place in a real-life context by use case projects, following a multi-disciplinary, collaborative, agile approach.
If you are interested in more details about the Pig Farm Management, contact Jarissa Maselyne from ILVO. I encourage you to join the SmartAgriHubs community by registering in the Innovation Portal and you can also come to the final event in Lisbon within a few weeks. Hundreds of stakeholders and more than 20 partner projects are coming together to share experiences on Digital Innovation in the Agri-Food sector. You are also welcome to subscribe to our on-line course that is enabled by Wageningen Academy. And finally, if you want to know more about how we deal with data in Wageningen, contact the Wageningen Data Competence Center.
This document proposes a structure for projects applying to the F2F-02-04 call topic, which aims to develop innovative digital solutions for small- and medium-sized farms and farm structures. It suggests that projects have a similar work package structure as previous IoF2020 projects, with work packages focused on use cases, technical support, business modeling, and ecosystem development. It offers for SmartAgriHubs to coordinate these common work packages across projects and provide training and support through their network of digital innovation hubs. This centralized support aims to ensure outcomes are successfully upscaled and sustained within the SmartAgriHubs ecosystem.
IoT and 5G in Agriculture: opportunities and challengesSjaak Wolfert
This is a keynote presentation at a workshop that was organized by Marconi Labs Coltano on 'Wireless technologies in agriculture. The presentation describes the general trend of digitalization in agriculture and food production. This is further illustrated by the IoF202 use case 'Big Wine Optimization' that demonstrates use of the Internet of Things (IoT) in agri-food. From this use case an overall, integrated approach to work on digital innovation is deducted which emphasizes both technological as well as organizational aspects. It also briefly introduces the potential use of 5G illustrated by a use case of the weed detection robot using a pre-5G network in The Netherlands. Recommendations to leapfrog development are provided for three distinctive scenarios ranging from 'no smart farming yet applied' to '5G implementation available'. The presentation ends with conclusions, that are also provided in Italian.
AI for intelligent services in Food SystemsSjaak Wolfert
This presentation was presented at the IEEE 5G Worldforum in a session 'Dialogues between 5G/B5G and Vertical Domains: AI for Intelligent Services. Several use cases in Food Systems that use 5G are presented of which the 'weed detection robot' in more detail. Enabling factors and recommendations for the use of 5G to create intelligent services using AI are discussed.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
This is a keynote presentation presented at a conference on INNOVATIVE TECHNOLOGIES AND DATA APPLICATIONS IN THE AGRIFOOD SECTOR, 26 February 2019 at Boğaziçi Üniversitesi South Campus, Rectorate Conference Hall, Turkey. It describes multi-disciplinary, collaborative, agile approach for digital transformation of the agri-food sector based on the IoF2020 and SmartAgriHubs project. It describes several examples of IoT and Big Data applications from those projects,
The video and voice-over of this presentation can be found at https://youtu.be/wYJVqh6jvSE
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current
trend of Smart Farming, introducing more sensors, robots and artificial intelligence, encompassed by the
phenomenon of Big Data.
This presentation will give a quick insight into the state-of-the-art of Big Data applications in Smart Farming
and identify the related challenges that have to be addressed. It shows that the scope of Big Data
applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data
are being used to provide predictive insights in farming operations, drive real-time operational decisions, and
redesign business processes for game-changing business models.
It is expected that Big Data will cause major shifts in roles and power relations among different players in
current food supply chain networks. The landscape of stakeholders exhibits an interesting game between
powerful tech companies, venture capitalists and often small startups and new entrants. At the same time
there are several public institutions that publish open data, under the condition that the privacy of persons
must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1)
closed, proprietary systems or 2) open, collaborative systems.
The development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to
cope with governance issues and define suitable business models for data sharing in different supply chain
scenarios.
Guidelines for governance of data sharing in agri foodSjaak Wolfert
Big Data is becoming a new asset in the agri-food sector including enterprise data from operational systems, sensor data, farm equipment data, etc. Recently, Big Data applications are being implemented to improve farm and chain performance in agri-food networks. Still, many companies are refraining from sharing data because of fear of governance issues such as data insecurity, or lack of privacy or liability, among others. To overcome such barriers for developments with Big Data, this paper aims at: 1) analysing governance issues in agri-food networks, and 2) introducing a set of guidelines for data-sharing. Based on a literature review, a framework for analysing agri-food networks was developed, with internal governance factors (efficiency, effectiveness, inclusiveness, legitimacy & accountability, credibility and transparency) and external governance factors (political, economic, social, technological, legal and environmental factors). The framework contributes to development of a set of draft guidelines. Accordingly, for each factor, the guidelines address issues, best practices and lessons learned from other projects and initiatives. The approach developed in this paper creates a baseline for possible future developments of Big data in terms of 1) upscaling of the guidelines at a global level, 2) refining and fine-tuning of the guidelines for context specific agri-food networks, and 3) contributing to solving governance challenges in data sharing. In the future, the relevance of Big Data in the agri-food domain is expected to increase, and so are the contributions of this approach.
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
Keynote IoT in Agriculture opening academic year CIHEAM ZaragozaSjaak Wolfert
Keynote presentation for the opening of the academic year at CIHEAM institute for Mediterranean agricultural research in Zaragoza. It is about how IoT and Big Data are transforming Agriculture in Europe and what the main challenges are: governance, business models and open infrastructures. This is illustrated from several use cases in the Internet of Food and Farm 2020 (IoF2020) project.
Entrepreneurs active in the agricultural sector spend more and more of their time registering and publishing all kinds of data, as the government, certification bodies, banks, clients, the retail sector and consumers all want to have more insight into how safe and sustainable their food is.
The majority of this agriculture-related data is still paper-based, spread over different systems and difficult to exchange between the people who want to access it. This is why digitising agricultural business data is an important item on the agenda. With FarmDigital, we can respond to these developments.
FarmDigital is an action research programme which is currently working towards a situation in which data only needs to be entered once and can be shared easily. It aims to achieve this goal by standardising data and developing and implementing an independent, digital platform for people to use.
Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017Sjaak Wolfert
Bridging the skills gap: How industrial/academic partnerships can benefit your IoT business.
Several of the large IoT players have recently partnered with universities and colleges worldwide to ensure that the next generation of recruits have the high level technical skills and understanding of the IoT ecosystem need to add value to their businesses. How should you take advantage of such collaboration opportunities, and how can they translate into increasing innovation and getting that competitive edge within your organisation? The EU-funded IoT Large Scale Pilot 'The Internet of Food and Farm 2020 (IoF2020)' will be used as a showcase. New opportunities for collaboration will be mentioned.
Smart Farming is a development that emphasizes the use of information and communication technology in the
cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing
are expected to leverage this development and introduce more robots and artificial intelligence in farming.
This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be
captured, analysed and used for decision-making. This review aims to gain insight into the state-of-the-art of
Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed. Following
a structured approach, a conceptual framework for analysiswas developed that can also be used for future
studies on this topic. The review shows that the scope of Big Data applications in Smart Farming goes beyond
primary production; it is influencing the entire food supply chain. Big data are being used to provide predictive
insights in farming operations, drive real-time operational decisions, and redesign business processes for
game-changing business models. Several authors therefore suggest that Big Data will cause major shifts in
roles and power relationsamong different players in current food supply chain networks. The landscape of stakeholders
exhibits an interesting gamebetween powerful tech companies, venture capitalists and often small startups
and new entrants. At the same time there are several public institutions that publish open data, under the
condition that the privacy of persons must be guaranteed. The future of Smart Farming may unravel in a continuum
of two extreme scenarios: 1) closed, proprietary systems in which the farmer is part of a highly integrated
food supply chain or 2) open, collaborative systems inwhich the farmer and every other stakeholder in the chain
network is flexible in choosing business partners as well for the technology as for the food production side. The
further development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. From a socio-economic perspective,
the authors propose to give research priority to organizational issues concerning governance issues and suitable
business models for data sharing in different supply chain scenarios.
IoF2020 project overview for BDE/eRosa/GODANSjaak Wolfert
Presentation of the IoF2020 project at the 2nd Joint workshop of Big Data Europe, eRosa & GODAN on European Policy Perspectives on Data-intensive Agriculture & Food.
IoF2020 project overview for S3 platform Big Data and TraceabilitySjaak Wolfert
Presentation at a technical meeting of the S3 AgriFood platform on Big Data and Traceability hosted by the regional government of Andalusia. Special attention was paid to those use cases that are dealing with this theme.
This document provides an overview of the IoF2020 project, which aims to foster large-scale adoption of IoT technologies in European farming and food production. The project objectives are to (1) demonstrate IoT's business value across various farming and food applications, (2) integrate and reuse available IoT technologies through open standards, and (3) ensure user acceptability by addressing needs like security, privacy and trust. A lean multi-actor approach will be used to conduct trials of IoT use cases in areas like arable, vegetables and dairy farming. The project aims to establish an IoT ecosystem to support large-scale adoption beyond the lifetime of the project.
The document discusses the increasing role of information and communication technologies (ICT) in agriculture and food systems. It describes how technologies like mobile/cloud computing, location-based monitoring, the Internet of Things, and big data can help address challenges in transportation, input supply, farming, food processing, retail, and consumer demands. Examples are provided of ICT solutions that offer benefits like early detection of animal health issues, optimized crop spraying advice, and food traceability. Concerns are raised about issues like data ownership and the potential for industry consolidation or lock-in under different business models enabled by big data in agriculture.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
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What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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1. Future Internet PPP: use case projects
SmartAgriFood and FIspace
Sjaak Wolfert
AgroConnect seminar
Wageningen 27 May 2013
2. Sjaak Wolfert – curriculum vitae
1990 – 1996: MSc Crop Science at Wageningen Agricultural University
● Thesis: Modelling crop growth using literate programming
1996 – 2002: PhD at Wageningen University, depts. of Organic
Agriculture/Applied Computer Science
● Thesis: Sustainable agriculture: how to make it work – a modeling
approach to support management of a mixed ecological farm
2001 – now: Senior Scientific Researcher Information Management and ICT in
Agri-Food Supply Chain Networks at the Agricultural Economics Research
Institute (LEI) of Wageningen University and Research Centre
2009 – now: Assistant Professor Information Systems at Information
Technology Group of Wageningen University
2011: guest researcher at Massey University, New Zealand
3. Sources used
Dutch projects:
● KodA – from knowledge to practice for arable farming (2006-2010)
● PPL – program on Precision Agriculture (2010-2014)
● Digital Horticulture (2009-2013)
Agri-food Living Lab
EU projects
● agriXchange (2010-2012)
● SmartAgriFood (2011-2013)
● FIspace (2013-2015)
Other:
● Developing (martket) IS in Saudi-Arabia, Indonesia
4. Background Future Internet PPP:
Evolution of the Internet
Internet of
People /
Content
Internet
of
Things
Internet
of
Services
Internet of
Computers
5. ICT becomes a key driver for innovation
Location-based monitoring and service delivery through GPS
Internet of Things (IoT) – everything/everyone gets connected,
M2M communication leading to autonomously communicating
devices and virtualization of objects and processes
Data explosion (Big Data), linked open data and the potential of
open innovation
Cloud services and app stores – the Internet is everywhere
(smart phones, embedded networked devices, etc.) with new
possibilities for service delivery, augmented reality, etc.
Social media – more direct and instant interaction between
stakeholders potentially leading to new market opportunities and
channels, co-innovation, etc.
6. Specific characteristics of Agri-Food Supply
Chain Networks
Heterogeneous, dynamic natural conditions (e.g. soil,
weather, pests)
Seasonal growing
Natural products: growth, decay, high quality variations
Dynamic, open chains
High demands from consumers and society (legislation,
certification, food safety)
High volume distribution
Governance: large processors, many SME’s in global
chains
7. ICT developments in general business
Island
automation
ERP Open architecture
(SOA-BPM)
skip this step for agri-food?
8. Generic idea of FI-PPP illustrated by phase
1 projects
http://www.fi-ppp.eu/projects/
•Usage area requirements
•Generic Enablers vs
•Specific Enablers
•Conceptual prototypes
9. FI-WARE Core Platform
The Reference Architecture of the FI-WARE platform is
structured along a number of technical chapters, namely:
Cloud Hosting
Data/Context Management
Internet of Things (IoT) Services Enablement
Applications/Services Ecosystem and Delivery Framework
Security
Interface to Networks and Devices (I2ND)
See http://www.fi-ware.eu/our-vision/ for detailed information
11. Smart Food and Agribusiness: Future Internet for
Safe and Healthy Food from Farm to Fork
Dr. Sjaak Wolfert (coordinator)
LEI Wageningen UR
e-mail: sjaak.wolfert@wur.nl
www.smartagrifood.eu
12. • EC contribution 5 M€
• Start date 01.04.2011
• Duration 24 months
• Partners 21
• Countries represented 7
The Smart Agri-Food project aims to:
• Boost the application and use of future
internet ICTs in Agri-Food
• Affect a huge number of Agri-Food
SMEs throughout Europe
• Increase the competiveness and
sustainability of Agri-Food
13. Objectives Smart Agri-Food (Phase I)
To boost the application and use of future internet ICTs in the agri-food
sector by:
• identifying and describing the technical, functional and non-functional FI-
specifications for experimentation in smart agri-food production as a
whole system and in particular for smart farming, smart agri-logistics and
smart food awareness
• identifying and developing smart agri-food-specific capabilities and
conceptual prototypes, demonstrating critical technological solutions
including the feasibility to further develop them in large scale
experimentation and validation
• identifying and describing existing experimentation structures and start
user community building, resulting in an implementation plan for the next
phase
14. SmartAgriFood: 3 use case domains – 6 pilots
Vegetable
Production
(greenhouse)
Arable Farming
(spraying)
Flowers & Plants
Supply Chain
Fruits & Vegs
Supply Chain
Meat
Transparency
Tailored Shopping
Experience
15.
16. Overall Architecture
Greenhouse and Spraying Use Case Pilot
Internet
External
Services
Data sources
(OKEPEPE/MTT/
CropInfra & JD)
Local
FMS
Spraying,
Greenhouse Services
Meteorological
Service
State and Policy
Information Service
FMIS
E-agriculturist Service
for spraying potatoes,
greenhouse
Cloud FMS
Public
Repository
Registry
Centralized
Cloud Service
NKUA’s
Premises
16
Machine Breakdown
Service
Machine Status
Service
Task Controller
Service
Greenhouse sensors,
actuators
17. Smart Agri-Logistics
Logistics Intelligence
Logistics Connectivity
Real-time Virtualization
5.0
5.5
6.0
6.5
7.0
0 10 20 30 40 50 60 70 80 90 100
Glycongen concn. (µmol glucose equiv./g)
UltimatepH
DFD
normal
normal or PSE
acid
18. Cloud Event Management System
Location A Location B
Virtual
Plant
Virtual
Location A
Virtual
Location B
Environ
ment
update
Plant
location
update
Environ
ment
update
19. Objective of the Smart Food Awareness
• To satisfy needs of each consumer by providing transparent
and tailored information about agrifood products, using FI.
I am a Royal Gala apple
from south Spain, I was
grown without
pesticides following
organic farming criteria,
I have been here for 1
day, my carbon footprint
is 1,2 kg CO2e.
20. • Each logo/sign has
several criteria that has
to accomplish.
Smart Food Awareness: how?
• Product scanning
(RFID, barcode ...)
• Image recognition
(logos/signs)
• Consumer gets tailored
information of the
product and/or logo.
• Each product contains
information gathered
through all supply chain.
• Each consumer
defines his/her
shopping profile.
22. More (detailed) information about pilots
• Most deliverables available at http://www.smartagrifood.eu/site-
downloads
• Conceptual prototypes and mock-ups are demonstrated at
http://www.smartagrifood.eu/pilots
23. FI-WARE
Expansion of
Use Cases
Call 3Call 2
FITMAN
XIFI
INFINITY
ENVIROFI
Call 1
CONCORD
20112010 2012 2013 2014 2015
Phase 3Phase 1 Phase 2
FI-CONTENT
USECASES
OUTSMART
SAFECITY
FINSENY
SMARTAGRIFOOD
INSTANT MOBILITY
FINEST
TF Extension and Usage
FI-STAR
FI-PPP Programme Architecture
Platform components
Platform
usage
Use case
scenarios
Capacity Building
Finesce
FI-CONTENT 2
FIspace
Use case
platforms
25. End-2-End Visibility
Collaboration & Communication
High-Quality Customer Applications
New Services & Apps
Consultants
Forwarder
Production
Plants
Carriers
Ports
Customs
Banks
Insurances
Authorities
Consumers
Features
Machine-2-Machine Communication
Motivation and Impact
Agri-Food, Transport and Logistics:
• EU turnover: 1,500 billion €
• Efficiency: 148-220 billion € savings
• Sustainability: 26.5% of CO2 emissions
Future Internet
will facilitate:
■ … seamless cross-organizational
collaboration (information
exchange, communication,
coordination of activities)
■ …unprecedented transparency,
visibility and control of processes
(using Internet-connected sensors and
IoT devices)
■ …rapid, easy, low cost
development and deployment of
customized solutions (apps and
services)
■ …agile formation of business
networks and ecosystems (social
networks and app/service markets)
26. Project Details
• EU Seventh Framework Program (7FP)
– Future Internet Public Private Partnership programme (FI-PPP)
• Project type: Collaborative Project - Large-scale Integrated
Project (IP)
• Total budget: 20 M€
• EU funding: 13.5 M€
• Duration: April 2013 – April 2015 (FI-PPP phase II)
• Grant Agreement: 604123
• Project coordinators:
– Sjaak Wolfert, Wageningen UR, The Netherlands
– Rod Franklin, Kühne + Nagel, Switzerland
• Website: www.FIspace.eu
28. FIspace platform High Level Architecture
Trial 1
Front-End
FIspace
Store
Real-time B2B
Collaboration
Core
System & Data Integration
Security, Privacy, and Trust Management
Operating Environment
DevelopmentToolkit
Trial 2
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
I2ND
IoT
IoC
IoS
S&T
GENERIC ENABLERS
DEVELOPMENT
TOOLKIT
Base Technologies
Validation
29. FIspace – a B2B collaboration and execution service
Domain n
App Store
Domain 1
App Store
Domain 2
App Store
GE GE GE GEGE
Legacy System Legacy System IoT Devices IoT Devices
Collaborative B2B Artifact
Focused Workflow
Customized Execution via App Mashup
End-user Interaction via BYOD Interfaces
Administrative Services
• Configuration
• Security
• Billing
• Monitoring
• Etc.
Event Management Service
B2B Collaboration
Services
• Partner Setup
• Discovery
• Communications
• Etc.
+ ++ + +
30. 1 4
3
5
2
6
8
7
Intelligent Perishable
Goods Logistics
Smart Distribution
and Consumption
Farming in the Cloud
Use Case Trial Experimentation Sites
1. Crop Protection
Information Sharing
2. Greenhouse Management
& Control
3. Fish Distribution and (Re-)
Planning
4. Fresh Fruit and Vegetables
Quality Assurance
5. Flowers and Plants Supply
Chain Monitoring
6. Meat Information
Provenance
7. Import and Export of
Consumer Goods
8. Tailored Information for
Consumers
31. Open call for Apps are mainly specified by trials
Trial 1
Front-End
FIspace
Store
Real-time B2B
Collaboration
Core
System & Data Integration
Security, Privacy, and Trust Management
Operating Environment
DevelopmentToolkit
Trial 2
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
I2ND
IoT
IoC
IoS
S&T
GENERIC ENABLERS
DEVELOPMENT
TOOLKIT
Base Technologies
Validation
Open Call
(1.35 M€)
32. Planning Open Call
Project Start
Publication of Open Call
via website, newspapers, journal, CORDIS
Open Call closed
Detailed specification and planning
Announcing that an Open Call takes place
Open Call publication
Evaluation of proposals
PO approved accession
of new Beneficiaries
Events
Inform proposers
Prepare accession to GA w.r.t. II.36
Submit Evaluation Report to PO &
Request accession of new beneficiaries
Sep. 2013
Dec. 2013
Jan. 2014Evaluation Report prepared
Mar. 2014
April 2014Additional Partners involved
Related FIspace Tasks
Guiding new Partners for techn. work
Communicate announcement text to PO
and full call details
Experts communicated to PO
proposals evaluated
2 weeks
Max. 7 weeks
3 weeks
1 April 2013
33. Upcoming events
6 June 2013 in Venlo: Joint Stakeholder Meeting of the
Horticultural Trials in the FIspace project (zie
www.tuinbouwdigitaal.net)
27 June in Eindhoven: Future Internet PPP roadshow –
Informatiebijeenkomst derde call (zie
www.agentschapnl.nl)
September 2013: FI-PPP Open call event
See www.FIspace.eu for actual information
34. Thank you for your attention
sjaak.wolfert@wur.nl
www.FIspace.eu