Suciu et. al. Presentation on "IoT Agro-Meteorology for Viticulture Disease Warning" at 4th IEEE BlackSeaconference on Communications and Networking.

1. IoT Agro-Meteorology for Viticulture
Disease Warning
George Suciu, Octavian Fratu, Alexandru Vulpe - University POLITEHNICA of Bucharest
Cristina Butca, Victor Suciu - Beia Consult International

2. Content
Short Biography
Introduction
Related Work
IoT Agro-Meteorology System for Viticulture
Research Results and Future Applications
Conclusions
References
G. Suciu, et.al. (2016) @GeorgeSuciuG

3. Short Biography (1)
George Suciu graduated from the Faculty of Electronics,
Telecommunications and Information Technology at the University
“Politehnica” of Bucharest (UPB), Romania (www.upb.ro)
MBA in Informatics Project Management from the Faculty of
Cybernetics, Statistics and Economic Informatics of the Academy
of Economic Studies Bucharest (www.ase.ro)
Ph.D. Student / Researcher at Aalborg University
Currently, Ph.D. Eng. Post-doc Researcher focused on the field of
big data, cloud communications, open source, IPR and IoT/M2M
Since 2008 IT&C Solutions Manager - R&D Department, being
employed starting 1998 at BEIA Consult International, a research
performing SME (www.beiaro.eu)
@GeorgeSuciuGG. Suciu, et.al. (ELSE, 2016)

4. G. Suciu, et.al. (2016)
Projects – www.beiaro.eu / www.mobcomm.pub.ro
FP7 (2 on-going)
REDICT : Regional Economic Development by ICT;
eWALL : Electronic Wall for Active Long Living;
NMSDMON : Network Management System Development and Monitoring;
FAIR : Friendly Application for Interactive Receiver;
Cloud Consulting : Cloud-based Automation of ERP and CRM software for Small Businesses;
ACCELERATE: A Platform for the Acceleration of go-to market in the ICT industry.
ODSI : On-Demand Secure Isolation
ASUA : Advanced Sensing for Urban Automation
WATER-M : Unified Intelligent WATER Management
InCloudInG : Inter-cloud identity governance
H2020 (3 on-going)
SWITCH: Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications (ICT-9).
Power2SME : Cloud Platform for intelligent energy use by SMES
Speech2Platform : Smart, natural language semantic analyser platform to process oriented back-ends
National (more than 10 past projects, 5 on-going)
MobiWay: Mobility Beyond Individualism: an Integrated Platform for Intelligent Transportation Systems of Tomorrow;
EV-BAT: Redox battery with fast charging capacity as a main source of energy for electric autovehicles;
CarbaDetect: Imuno-biosensors for fast detection of carbamic pesticide residues (carbaryl, carbendazim) in horticultural products;
SARAT-IWSN : Scalable Radio Transceiver for Instrumental Wireless Sensor Networks;
COMM-CENTER : Developing of a “cloud communication center" by integrating a call/contact center platform with unified communication
technology, CRM system, “text-to-speech” and “automatic speech recognition” solutions in different languages (including Romanian).
Short Biography (2)
@GeorgeSuciuG

5. Agricultural plants are extremely sensitive to climate change, because
higher temperatures and changes in precipitation patterns increase the
likelihood of diseases, which can lead to crop failures and irreversible
damage to plants.
Current advancements in the Internet of Things (IoT) and Cloud
Computing paradigms led to the development of new applications based
on highly innovative and scalable service platforms, including in
viticulture.
IoT solutions have a great potential in ensuring the quality and safety of
agriculture products.
Introduction (1)
G. Suciu, et.al. (2016) @GeorgeSuciuG

6. In recent years, agriculture is increasingly automated by using greenhouse and
aquaculture technologies.
Remote monitoring systems combine wireless or cabled sensors for data
gathering and internet for data transport. At the same time, information
management systems are designed to store and process the collected data,
which can be used for further research.
The current paper provides empirical measurement results from an IoT platform
based on remote telemetry applications for viticulture.
The main contributions is to demonstrate how the processing of big data and
the concept of decentralized cloud operation can answer the demands of IoT
applications in agriculture and how smart farming will help farmers operate more
efficiently.
G. Suciu, et.al. (2016)
Introduction (2)
@GeorgeSuciuG

7. Related work (1)
In this section we provide an overview of existing monitoring systems for agricultural
crops, especially for vineyards.
ThingWorx is an IoT platform which provides the required security and
scalability for handling transactions associated to a connected world. ThingWorx
can provide the user with the required means to deploy smart IoT agriculture
solutions with a minimum effort.
The Smart Agriculture solution from Haxagon address the entire lifecycle of
the the agriculture process and assist in crop management through digital
workflows created from geo-enabled data. This solution combines Integraph
geo-processing software with the Leica Geosystems steering solutions.
Fuse is a solution for precision agriculture that is designed for the entire crop
cycle from enterprise planning to planting, caring, harvesting and storing. By
using this solutions, farmers gain access to relevant data to make more informed
decisions thus enhancing their business’s productivity and profitability.
G. Suciu, et.al. (2016) @GeorgeSuciuG

8. Kaa is an IoT open-source platform applicable for solutions such as smart
metering devices, livestock trackers, failure prediction systems, resource
mapping solutions and farming produce analytics solutions.
Smart Wine is an intelligent cloud based monitoring system for the wine
production process, which provides means of evaluating and managing
resources consumption, leading to a decrease in the cost for energy, water
and pesticides.
Smart Vineyard is a precision viticulture system capable of measuring
microclimatic conditions and the intensity of fungal diseases.
G. Suciu, et.al. (2016)
Related work (2)
@GeorgeSuciuG

9. On a high level of abstraction, the system architecture is based on four main components:
RTU, Gateway, Application Service, Presentation Service
G. Suciu, et.al. (2016)
IoT Agro-meteorology System for Viticulture (1)
@GeorgeSuciuG

10. The RTU (Remote Telemetry Unit) component is an intelligent device that has a built-in
microcontroller to perform periodically tasks such as sensor interrogation,
measurement data gathering and storage, battery status verification, radio channel
verification and some other system maintenance tasks.
The Gateway is the base station in the system together with the user’s personal
computer. This component passes further in the network the data requests from the
RTUs and temporarily stores the received data.
The SaaS and PaaS components, which follow a client/server architecture, collect data
from one or several Telemetry Gateways and make it available for viewing or for
specialized analysis.
The measured data is collected from the sensor network and stored by the RTU,
further sent to the Gateway using halfway a GSM-GPRS technology and continuing
with IP communication until it reaches the big data processing platform.
G. Suciu, et.al. (2016)
IoT Agro-meteorology System for Viticulture (2)
@GeorgeSuciuG

11. Research Results and Future Applications (1)
The case study was done in two stages using a series of sensors to
measure, analyse and present the results of winegrowing in Romania,
continuing the study from 2014 to 2015.
For both stages, the reference monitoring station was located in
Cogealac, Constan a county, in the middle of a one hundred hectares
entirely drip-irrigated Cabernet Sauvignon vine.
What follows is an empirical survey of the winegrowing seasons 2014 and
2015, as it was measured by the IoT server, M2M telemetry gateway and
an A753 GPRS Remote Telemetry Unit equipped with rain gauge, solar
panel, wind speed sensor, total radiation sensor, combined air relative
humidity & temperature sensor, leaf wetness sensor.
G. Suciu, et.al. (2016) @GeorgeSuciuG

12. The accumulated quantity of heat received by the culture was measured in accumulated degree-
days, taking into calculation what exceeds + 10o C and a value of + 35o C only for temperatures
exceeding this upper limit.
Another important parameter processed by the Big Data engine was the quantity of heat
received daily by the culture, having a rather usual evolution, with about 426 degree-days
accumulated during August 2014 and about 425 degree-days accumulated during August 2015.
G. Suciu, et.al. (2016)
Research Results and Future Applications (2)
@GeorgeSuciuG

13. Research Results and Future Applications (3)
Grape bunch rot did represent a very important issue during the 2014 and 2015 seasons.
G. Suciu, et.al. (2016) @GeorgeSuciuG

14. Research Results and Future Applications (4)
Evapotranspiration (ETo) and precipitations were continuously monitored in order to apply
irrigation water in exactly the quantity able to assure a future Cabernet Sauvignon wine of a
very high quality.
As future applications, the system allows the measurement of basic parameters for irrigations
management, such as precipitation intensity, total rainfall, evapotranspiration and soil
moisture.
G. Suciu, et.al. (2016) @GeorgeSuciuG

15. Conclusions
This paper presents a survey of tele-monitoring systems for agriculture, given the
fact that many species of plants are sensitive to climate change and
environmental conditions, and farmers need to pay a proper attention to
preventing and treating diseases.
Furthermore, the paper introduces an IoT system for viticulture telemetry that can
be adapted for other applications besides agriculture.
Measurement results are presented from Romanian vineyards that were
performed using the proposed IoT platform, demonstrating the positive impact of
adopting intelligent applications in the field of agriculture and how smart farming
can lead to better results overall.
As future work we envision to extend the monitoring process to new geographical
areas to collect more relevant data that provides information over climate changes
and its impact over the crops.
G. Suciu, et.al. (2016) @GeorgeSuciuG

16. Thank you for the attention!
Any questions ?
george@beia.ro
G. Suciu, et.al. (2016) @GeorgeSuciuG
Acknowledgments

17. G. Suciu, A. Vulpe, O. Fratu, and V. Suciu, "M2M remote telemetry and cloud IoT big data
processing in viticulture," in Wireless Communications and Mobile Computing Conference
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Internet of Things Applications – Challenges for Large Scale Implementations”, AIOTI
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S. Migdall, P. Klug, A. Denis, and H. Bach, "The additional value of hyperspectral data for
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References
G. Suciu, et.al. (2016) @GeorgeSuciuG