The document summarizes an international Future Internet Public Private Partnership (FI-PPP) session held in Berlin on November 28, 2013.
It discusses the FI-PPP programme architecture and timeline, highlighting several projects including FIspace, which aims to develop a business collaboration service to facilitate seamless cross-organizational collaboration using Internet-connected technologies.
It also provides an overview of the FIspace platform and trial sites, which are testing applications in various agri-food, transport, and logistics use cases to demonstrate the platform's capabilities.
This document discusses food quality and safety testing solutions provided by F&S Scientific, including for mycotoxins like aflatoxin. F&S Scientific aims to make Africa cleaner, safer and healthier by partnering with leading scientific brands to provide testing and analysis solutions across many industries. They support customers through the entire process from choosing solutions to installation, training, maintenance and warranty. The document focuses on why testing for aflatoxin is important due to regulations, health and economic impacts. It outlines the "farm to fork" supply chain where contamination can occur and limitations of sight, smell and taste for ensuring food safety. Lateral flow and ELISA are presented as the main testing platforms to assess aflatoxin contamination
IITA is a member of the CGIAR System Organization that develops Aflasafe, a biocontrol product used to reduce aflatoxin contamination in crops like maize and groundnuts. Aflasafe works by using atoxigenic strains of Aspergillus flavus fungi to competitively exclude toxin-producing strains from colonizing crops. Field trials have shown Aflasafe can reduce aflatoxin levels by over 90% compared to untreated crops. IITA is working to improve and scale up Aflasafe through research, establishing production facilities, and partnerships.
Food safety risks the elastic stack to the rescueDaliya Spasova
The document discusses Agroknow's data platform for collecting and enriching global food safety data. It collects data from over 30 food safety authorities using web crawling. The raw data is then enriched by identifying important properties like ingredients, hazards, suppliers, brands, and dates from each recall. Other related data types like news, inspections, and trade data are also collected. The enriched data is then made available through APIs. The goal is to help the food industry minimize risks through a product called FoodAKAI that performs analytics on the large database.
Global food traceability market (tracking technologies) to reach $14.1 billio...Lita Person
The Food traceability (tracking technologies) market is growing at a healthy rate with increasing awareness about food safety among governments and consumers. Governments across the globe are making regulations to track food as it is directly concerned with consumer health.
RFID technology uses tags and readers to transmit data without direct line of sight and can help increase supply chain visibility. The Auto-ID Center was established in 1999 to develop low-cost RFID standards and included several university labs. It later split into the Auto-ID Center for research and EPCglobal to develop and administer the EPC Network RFID infrastructure. While RFID adoption faces challenges like cost and lack of standards, it provides benefits like inventory tracking, asset management, and reducing theft.
This document summarizes the key aspects of food traceability from compliance to opportunity. Traceability has become a regulatory requirement in both the EU and US to identify unsafe food and enable recalls. It allows food to be tracked from farm to fork through all stages of production, processing, and distribution. While traceability ensures compliance, it can also provide brand protection and market access opportunities when customers demand transparency in supply chains. Technologies continue to advance traceability capabilities from paper-based systems to electronic tracking using barcodes, RFID, and analytical techniques. Effective traceability gives organizations supply chain visibility to communicate their practices and story to consumers.
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.
This document discusses food quality and safety testing solutions provided by F&S Scientific, including for mycotoxins like aflatoxin. F&S Scientific aims to make Africa cleaner, safer and healthier by partnering with leading scientific brands to provide testing and analysis solutions across many industries. They support customers through the entire process from choosing solutions to installation, training, maintenance and warranty. The document focuses on why testing for aflatoxin is important due to regulations, health and economic impacts. It outlines the "farm to fork" supply chain where contamination can occur and limitations of sight, smell and taste for ensuring food safety. Lateral flow and ELISA are presented as the main testing platforms to assess aflatoxin contamination
IITA is a member of the CGIAR System Organization that develops Aflasafe, a biocontrol product used to reduce aflatoxin contamination in crops like maize and groundnuts. Aflasafe works by using atoxigenic strains of Aspergillus flavus fungi to competitively exclude toxin-producing strains from colonizing crops. Field trials have shown Aflasafe can reduce aflatoxin levels by over 90% compared to untreated crops. IITA is working to improve and scale up Aflasafe through research, establishing production facilities, and partnerships.
Food safety risks the elastic stack to the rescueDaliya Spasova
The document discusses Agroknow's data platform for collecting and enriching global food safety data. It collects data from over 30 food safety authorities using web crawling. The raw data is then enriched by identifying important properties like ingredients, hazards, suppliers, brands, and dates from each recall. Other related data types like news, inspections, and trade data are also collected. The enriched data is then made available through APIs. The goal is to help the food industry minimize risks through a product called FoodAKAI that performs analytics on the large database.
Global food traceability market (tracking technologies) to reach $14.1 billio...Lita Person
The Food traceability (tracking technologies) market is growing at a healthy rate with increasing awareness about food safety among governments and consumers. Governments across the globe are making regulations to track food as it is directly concerned with consumer health.
RFID technology uses tags and readers to transmit data without direct line of sight and can help increase supply chain visibility. The Auto-ID Center was established in 1999 to develop low-cost RFID standards and included several university labs. It later split into the Auto-ID Center for research and EPCglobal to develop and administer the EPC Network RFID infrastructure. While RFID adoption faces challenges like cost and lack of standards, it provides benefits like inventory tracking, asset management, and reducing theft.
This document summarizes the key aspects of food traceability from compliance to opportunity. Traceability has become a regulatory requirement in both the EU and US to identify unsafe food and enable recalls. It allows food to be tracked from farm to fork through all stages of production, processing, and distribution. While traceability ensures compliance, it can also provide brand protection and market access opportunities when customers demand transparency in supply chains. Technologies continue to advance traceability capabilities from paper-based systems to electronic tracking using barcodes, RFID, and analytical techniques. Effective traceability gives organizations supply chain visibility to communicate their practices and story to consumers.
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.
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.
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.
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.
Presented FIspace in a session at the 2nd European Conference on Future Internet (ECFI) where the FIware accelerators in agri-food were also presenting how they were planning to build upon FIWARE and FIspace.
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.
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.
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.
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.
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.
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.
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.
Presented FIspace at a matchmaking event in The Netherlands for the FIWARE Accelerator FInish. Also the other accelerators SmarAgriFood, Fractals and SpeedUP!Europe were mentioned.
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.
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.
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.
FIspace open call Information Day The Hague (NL) 5 nov. 2013Sjaak Wolfert
1) The document describes an open call for applications to be developed and tested on the FIspace platform for various agricultural, transportation, and logistics trials.
2) The open call has a total budget of 1.22 million Euros to fund app development projects of up to 150,000 Euros each to support 8 different trials related to areas like crop management, greenhouse operations, food quality assurance, and supply chain monitoring.
3) Developers are invited to submit proposals by December 18th to have their applications integrated with the FIspace platform and generic enablers and tested in one or more of the agricultural, transportation or logistics trials.
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.
Contenu connexe
Similaire à FIspace use case presentation at Fokus FUSECO forum, Berlin 28 nov2013
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.
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.
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.
Presented FIspace in a session at the 2nd European Conference on Future Internet (ECFI) where the FIware accelerators in agri-food were also presenting how they were planning to build upon FIWARE and FIspace.
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.
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.
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.
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.
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.
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.
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.
Presented FIspace at a matchmaking event in The Netherlands for the FIWARE Accelerator FInish. Also the other accelerators SmarAgriFood, Fractals and SpeedUP!Europe were mentioned.
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.
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.
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.
FIspace open call Information Day The Hague (NL) 5 nov. 2013Sjaak Wolfert
1) The document describes an open call for applications to be developed and tested on the FIspace platform for various agricultural, transportation, and logistics trials.
2) The open call has a total budget of 1.22 million Euros to fund app development projects of up to 150,000 Euros each to support 8 different trials related to areas like crop management, greenhouse operations, food quality assurance, and supply chain monitoring.
3) Developers are invited to submit proposals by December 18th to have their applications integrated with the FIspace platform and generic enablers and tested in one or more of the agricultural, transportation or logistics trials.
Similaire à FIspace use case presentation at Fokus FUSECO forum, Berlin 28 nov2013 (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.
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 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.
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
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.
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.
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.
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.
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.
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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.
This webinar will review:
- 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
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
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!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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!
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
FIspace use case presentation at Fokus FUSECO forum, Berlin 28 nov2013
1. Future Internet
Business Collaboration
Networks in Agri-Food,
Transport & Logistics
International FI-PPP session at Fokus
FUSECO Forum, Berlin, 28 Nov. 2013
Sjaak Wolfert
Project Coordinator
Wageningen UR (NL)
3. Motivation and Impact
Future Internet
will facilitate:
Forwarder
Carriers
Consultants
■ … seamless cross-organizational
collaboration (information
Production
Plants
Consumers
Features
Collaboration & Communication
New Services & Apps
Machine-2-Machine Communication
Banks
End-2-End Visibility
High-Quality Customer Applications
Insurances
Ports
Customs Authorities
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)
Agri-Food, Transport and Logistics:
•
•
•
EU turnover: 1,500 billion €
Efficiency: 148-220 billion € savings
Sustainability: 26.5% of CO2 emissions
■ …agile formation of business
networks and ecosystems (social
networks and app/service markets)
4. The FIspace B2B Collaboration Service
•
•
•
Successful business relationships and operations require businesses to collaborate
Collaboration = to work with another person or group in order to achieve or do
something
The FIspace B2B Collaboration Service is being developed to allow businesses to work
with one another to more effectively and efficiently accomplish their strategic and
tactical objectives
4
5. Technical Overall Platform Approach
Extension Mechanism 1:
Addition of value-add functionality through Apps
User
App 1
App 3
Collab.
Workflow 1
App n
…
Collab.
Workflow k
…
FIspace: Extensible SaaS
Deployed in
the Cloud
Generic Enablers
Extension
Mechanism 2:
Configurable
Collaborative
Workflows
Future Internet Core Platform
Ubiquitous
Broadband
Connectivity
Real World
Integration
Infrastructure
Virtualization
Service Provisioning
& Consumption
Security &
Reliability
Tool Support
I2ND
IoT
Cloud
IoS
SPT
FI-CODE
5
6. FIspace platform High Level Architecture
Trial 1
Front-End
FIspace
Store
GENERIC ENABLERS
Real-time B2B
Collaboration
Core
I2ND
IoT
IoC
IoS
System & Data Integration
S&T
Security, Privacy, and Trust Management
DEVELOPMENT
TOOLKIT
Operating Environment
Validation
Trial 2
Development Toolkit
Base Technologies
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
7. Use Case Trial Experimentation Sites
Farming in the Cloud
Intelligent Perishable
Goods Logistics
Smart Distribution
and Consumption
3
51
4
6
2
8
7
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
FIspace cloud hosting
9. Associated partners
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Borborema Group (Brasil)
Centre of Excellence in Farm Business Management (New Zealand)
China Telecom Corporation Limited Beijing Research Institute (China)
EDEKA (Germany)
Eurofins GmbH (Germany)
European Retail Academy
Future Logistics Living Lab (Australia)
Global G.A.P. c/o FoodPlus GmbH
JOHN DEERE GmbH & Co. KG European Technology Innovation Center
ORGAINVENT (Germany)
Pardalis (USA)
Sebrea Minas Gerais (Brasil)
Union Fleurs aisbl
Westfleisch eG (Germany)
10. Supporting partners
•
•
•
•
•
•
•
•
•
•
•
Agroconnect
Tuinbouw Digitaal/Greenport Digital
Community
Centre for Agroecology and Food
Security. Coventry University (UK)
Geomations SA
Koninklijke Maatschap
Wilhelminapolder
PASEGES
GreenHouse in Nafpaktos
Maatschap Hamster
Maatschap Wage
Nursery Greenhouse in east Peloponese
ZLTO
•
•
•
•
•
•
•
•
•
•
Koc Holding
Tupras
Gaia association
Yasad
Universiy of Pireaus Research
Centre / TNS Living Lab
NICTA
TUBISAD
ITA Aragon
Ministry of Rural development and
food
Malaga city
11. Apps running on the FIspace platform
FIspace Platform
Initial Apps (Common functions)
•
Product information Service App
•
Logistics Planning Service App
•
Business Profile App
•
Marketplace Operations App
•
Realtime Business SLA Management App
Domain Apps (Specific functions)
•
To be specified and developed according to
requirements of the trials
Domain Apps through open call
•
To be specified and developed according to
requirements of the trials but developed by additional
partners
Apps can be
“mashed up”
and integrated
into the
companies’
workflows.
12. FIspace platform High Level Architecture
Trial 1
Front-End
Open Call
FIspace
GENERIC ENABLERS
(1.35 M€, closing
Store
18 Dec. 2013)
Real-time B2B
Collaboration
Core
I2ND
IoT
IoC
IoS
System & Data Integration
S&T
Security, Privacy, and Trust Management
DEVELOPMENT
TOOLKIT
Operating Environment
Validation
Trial 2
Development Toolkit
Base Technologies
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
13. Open Call: List of apps
Nr. Trial
1 Crop Protection Information Sharing
Apps
Formulation of weather scenario
Bad weather alert
Hiker app
Greenhouse Crop Monitoring
Greenhouse Crop Analyzer
2 Green House Management &
Control
3 Fish Distribution and (Re-)Planning
Booking Probably app
Find Cargo Replacement app
Pricing Proposal app
Inventory Management of RTI Packaging (BOXMAN)
4 Fresh Fruit & Vegetables Quality
Assurance
5 Flowers and Plants Supply Chain
Monitoring
Botanic Info App
Time Temperature Planning App
6 Meat Information Provenance
7 Import and Export of Consumer
Goods
Meat Transparency System App - Query EPCIS
repositories
Meat Transparency System App – Discovering data
sources (EPCIS repositories)
Meat Transparency System for aggregating traceability
information
Transport Demand App
Shipment Status App
Manual Event and Deviation Reporting App
8 Tailored Information for Consumers
Risk Management in the Distribution of FFV (RISKMAN)
Shopping list & Recipes
Augmented reality Product Info
Push Information
e.g. 125-150 k€
14. Towards FI-PPP phase 3
Call 1
Call 2
Call 3
CONCORD
USE CASES
Capacity Building
INFINITY
2010
FINEST
INSTANT MOBILITY
SMARTAGRIFOOD
Use case
FINSENY
scenarios
SAFECITY
OUTSMART
FI-CONTENT
ENVIROFI
XIFI
FIspace
Use case
platforms
Finesce
2012
Phase 1
Expansion of
200 – 250 new
Apps? Cases
Use
Large
ecosystem
FI-CONTENT 2
FI-STAR
FITMAN
Platform components
FI-WARE
2011
4-5 projects using
FIspace platform?
TF Extension and Usage
2013
Phase 2
2014
2015
Phase 3
15. (converging)
Industries
FIspace Ecosystem Development
Farming & Manufacturing
(Producers, Farmers, Manufacturers, Suppliers, ..)
Base Technologies
Transport & Logistics
Wholesale & Retail
(Forwarder, Carriers, 3PL / 4PL, Ports, …) (Warehouses, Supermarkets, Stores, …)
Service Sector
(Banks, Insurances, Authorities, ..´)
ICT Industry
(going to the Cloud)
Value-Added Service Providers
(+ follow up)
GENERIC ENABLERS
I2ND
IoT
IoC
IoS
Cloud Operators &
Infrastructure Providers
S&T
DEVELOPMENT
TOOLKIT
Validation
Software & Solution Providers
These sectors together have a huge potential impact on the European economy and society.EU turnover: 1,500 billion €Efficiency: 148-220 billion € savingsSustainability: 26.5% of CO2 emissionsHere you see a picture of the business network we are dealing with (farmers, carriers, retail, customs, etc.)They are challenged by all kind of ICT-related developments, such as:High-quality customer applications, end2end visibility, M2M communication, etc.But there are currently still quite some bottlenecks to be solved, such as:Interoperability between current inter-enterprise information systems (still use of paper, fax, phone, etc.)Tracking and tracing possibilities are still limited (especially e.g. if you want to know what happened to your food between production and consumption)Especially for SMEs, software is relatively expensive, while the need for flexible, customized solutions has increasedThese bottlenecks are the reason for current limited and rather fixed business collaboration networks, hampering innovation in generalThrough conceptual prototypes in phase 1 we have made it plausible that FI will significantly contribute to overcoming these bottlenecks by facilitating:...seamless cross-organizational collaboration…unprecedented transparency, visibility and control of processes…rapid, easy, low cost development and deployment of customized solutions…agile formation of business networks and ecosystems
This will be achieved by the FIspace platform, which is a cloud-based solution for business collaboration.This platform is represented by the big rectangle in the middle, consisting of several components:FIspace store (similar to the Apple App Store or Google Play), which offers a range of apps and services supporting B2B collaborationBecause apps are characterized by simple, lightweight functionalities, this collaboration is supported by a B2B collaboration core that handles object states, event handling, (re-)planning processes, etc.Further embedding and integration is supported by the other layers:System & Data IntegrationSecurity, Privacy and Trust managementAnd an operating environment to make it runningThe apps are planned to be developed through the open call in Phase 2 and large scale expansion in Phase 3. Therefore we develop and offer aSoftware development toolkitFinally, the whole platform is approachable through front-ends, which are typicallycockpit-type of web browser applicationsAll these components will use, and therewith validate, several GEs from FI-Ware and - at the other side – eight trials will validate and demonstrate the FIspace platform
These trials are largely a continuation and extension of the pilots that were started in phase 1. They are categorized into three themes:Farming in the cloud (e.g. crop protection information sharing)Intelligent Perishable Goods Logistics (e.g. Fresh Fruits and Vegetables Supply Chain Monitoring)Smart Distribution and Consumption (Import and Export of Consumer Goods)The trials are concentrated at several locations all over Europe, but since most of them concern international supply chains, the actual scope is much larger.All trials use similar functions of the FIspace platform (especially within one theme; as indicated by the connections) and therewith GEs
Red rectangles: new partners that were not in SmartAgriFood or FInest
This will be achieved by the FIspace platform, which is a cloud-based solution for business collaboration.This platform is represented by the big rectangle in the middle, consisting of several components:FIspace store (similar to the Apple App Store or Google Play), which offers a range of apps and services supporting B2B collaborationBecause apps are characterized by simple, lightweight functionalities, this collaboration is supported by a B2B collaboration core that handles object states, event handling, (re-)planning processes, etc.Further embedding and integration is supported by the other layers:System & Data IntegrationSecurity, Privacy and Trust managementAnd an operating environment to make it runningThe apps are planned to be developed through the open call in Phase 2 and large scale expansion in Phase 3. Therefore we develop and offer aSoftware development toolkitFinally, the whole platform is approachable through front-ends, which are typicallycockpit-type of web browser applicationsAll these components will use, and therewith validate, several GEs from FI-Ware and - at the other side – eight trials will validate and demonstrate the FIspace platform