The AFarCloud ECSEL Project

Pedro Castillejo, Baran Curuklu, Roberto Fresco, Gorm Johansen, Sonia Bilbao-Arechabala, Belen Martinez-Rodriguez, Luigi Pomante, Jose-Fernan Martinez-Ortega, Marco Santic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)
3 Downloads (Pure)

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 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.
Original languageEnglish
Title of host publicationunknown
EditorsNikos Konofaos, Paris Kitsos
PublisherIEEE
Pages414-419
Number of pages6
ISBN (Electronic)978-1-7281-2862-7, 9781728128610
ISBN (Print)978-1-7281-2863-4
DOIs
Publication statusPublished - Oct 2019
Event22nd Euromicro Conference on Digital System Design, DSD 2019 - Kallithea, Chalkidiki, Greece
Duration: 28 Aug 201930 Aug 2019

Publication series

NameProceedings - Euromicro Conference on Digital System Design, DSD 2019

Conference

Conference22nd Euromicro Conference on Digital System Design, DSD 2019
Country/TerritoryGreece
CityKallithea, Chalkidiki
Period28/08/1930/08/19

Keywords

  • Agriculture
  • Monitoring
  • Animals
  • Real-time systems
  • Sensors
  • Production
  • Europe
  • autonomous and semi-autonomous vehicles
  • autonomy and cooperation
  • crop monitoring
  • Cyber-Physical Systems
  • farming robots
  • Livestock management
  • Smart & Precision Farming

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/783221/EU/Aggregate Farming in the Cloud/AFarCloud
  • Funding Info
  • The AFarCloud project is funded from the ECSEL Joint Undertaking under grant agreement n° 783221, and from National funding.

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