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Aggregate Farming in the Cloud : The AFarCloud ECSEL project

Authors :
Castillejo, Pedro
Johansen, Gorm
Curuklu, Baran
Bilbao-Arechabala, Sonia
Fresco, Roberto
Martinez-Rodriguez, Belen
Pomante, Luigi
Rusu, Cristina
Martinez-Ortega, Jose-Fernan
Centofanti, Carlo
Hakojarvi, Mikko
Santic, Marco
Haggman, Johanna
Castillejo, Pedro
Johansen, Gorm
Curuklu, Baran
Bilbao-Arechabala, Sonia
Fresco, Roberto
Martinez-Rodriguez, Belen
Pomante, Luigi
Rusu, Cristina
Martinez-Ortega, Jose-Fernan
Centofanti, Carlo
Hakojarvi, Mikko
Santic, Marco
Haggman, Johanna
Publication Year :
2020

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1293942226
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.micpro.2020.103218