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Aggregate Farming in the Cloud: The AFarCloud ECSEL project
Univ Politecn Madrid, Madrid, Spain..
SINTEF, Trondheim, Norway..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5224-8302
Basque Res & Technol Alliance BRTA, Tecnalia, Bizkaia, Spain..
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2020 (English)In: Microprocessors and microsystems, ISSN 0141-9331, E-ISSN 1872-9436, Vol. 78, article id 103218Article in journal (Refereed) Published
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 monitoring of soil and crop properties 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 labor costs. Moreover, such a platform can be integrated with farm management software to support monitoring and decision-making solutions based on big data and real-time data mining techniques.

Place, publisher, year, edition, pages
ELSEVIER , 2020. Vol. 78, article id 103218
Keywords [en]
Cyber-physical systems, Smart & precision farming, Livestock management, Crop monitoring, Autonomy and cooperation, Autonomous and semi-autonomous vehicles, Farming robots
National Category
Production Engineering, Human Work Science and Ergonomics Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-52380DOI: 10.1016/j.micpro.2020.103218ISI: 000579525100009Scopus ID: 2-s2.0-85089063670OAI: oai:DiVA.org:mdh-52380DiVA, id: diva2:1499865
Available from: 2020-11-10 Created: 2020-11-10 Last updated: 2020-11-18Bibliographically approved

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Curuklu, Baran

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