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The AFarCloud ECSEL Project
Universidad Politecnica de Madrid, Madrid, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5224-8302
CNR - IMAMOTER, Ferrara, Italy.
SINTEF, Trondheim, Norway.
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2019 (English)In: Proceedings - Euromicro Conference on Digital System Design, DSD 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 414-419Conference paper, Published paper (Refereed)
Abstract [en]

Farming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate identification and proper quantification of pathogens affecting plant and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate FARming in the CLOUD) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real-time data mining techniques.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 414-419
Keywords [en]
autonomous and semi-autonomous vehicles, autonomy and cooperation, crop monitoring, Cyber-Physical Systems, farming robots, Livestock management, Smart & Precision Farming, Agriculture, Animals, Cost effectiveness, Cyber Physical System, Data mining, Embedded systems, Health risks, Productivity, Real time systems, Remotely operated vehicles, Systems analysis, Veterinary medicine, Wages, Distributed platforms, Domain specific, Economic challenges, Precision farming, Real-time data mining, Semi-autonomous vehicles, Decision making
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-46216DOI: 10.1109/DSD.2019.00066ISI: 000722275400057Scopus ID: 2-s2.0-85074928612ISBN: 9781728128610 (print)OAI: oai:DiVA.org:mdh-46216DiVA, id: diva2:1374561
Conference
22nd Euromicro Conference on Digital System Design, DSD 2019, 28 August 2019 through 30 August 2019
Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2021-12-07Bibliographically approved

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Curuklu, Baran

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