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Aggregate Farming in the Cloud: The AFarCloud ECSEL project

Abstract

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.
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Category

Academic article

Language

English

Author(s)

  • Pedro Castillejo
  • Gorm Idar Johansen
  • Baran Cürüklü
  • Sonia Bilbao-Arechabala
  • Roberto Fresco
  • Belén Martínez-Rodríguez
  • Luigi Pomante
  • Cristina Rusu
  • José-Fernán Martínez-Ortega
  • Carlo Centofanti
  • Mikko Hakojärvi
  • Marco Santic
  • Johanna Häggman

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics
  • Finland
  • Sweden
  • Mälardalen University
  • University of L'Aquila
  • National Research Council
  • Spain
  • Technical University of Madrid

Year

2020

Published in

Microprocessors and Microsystems: Embedded Hardware Design (MICPRO)

ISSN

0141-9331

Volume

78

View this publication at Norwegian Research Information Repository