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

doi:10.1109/dsd.2019.00066

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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

6 Descargas (Pure)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	unknown
Editores	Nikos Konofaos, Paris Kitsos
Editorial	IEEE
Páginas	414-419
Número de páginas	6
ISBN (versión digital)	978-1-7281-2862-7, 9781728128610
ISBN (versión impresa)	978-1-7281-2863-4
DOI	https://doi.org/10.1109/dsd.2019.00066
Estado	Publicada - oct 2019
Evento	22nd Euromicro Conference on Digital System Design, DSD 2019 - Kallithea, Chalkidiki, Grecia Duración: 28 ago 2019 → 30 ago 2019

Serie de la publicación

Nombre	Proceedings - Euromicro Conference on Digital System Design, DSD 2019

Conferencia

Conferencia	22nd Euromicro Conference on Digital System Design, DSD 2019
País/Territorio	Grecia
Ciudad	Kallithea, Chalkidiki
Período	28/08/19 → 30/08/19

Palabras clave

Agriculture
Monitoring
Animals
Real-time systems
Sensors
Production
Europe

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.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/dsd.2019.00066

DSD Conference pre-printVersión publicada final, 377 KB

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title = "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 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.",

keywords = "Agriculture, Monitoring, Animals, Real-time systems, Sensors, Production, Europe, 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",

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

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd Euromicro Conference on Digital System Design, DSD 2019 ; Conference date: 28-08-2019 Through 30-08-2019",

year = "2019",

month = oct,

doi = "10.1109/dsd.2019.00066",

language = "English",

isbn = "978-1-7281-2863-4",

series = "Proceedings - Euromicro Conference on Digital System Design, DSD 2019",

publisher = "IEEE",

pages = "414--419",

editor = "Nikos Konofaos and Paris Kitsos",

booktitle = "unknown",

}

Castillejo, P, Curuklu, B, Fresco, R, Johansen, G, Bilbao-Arechabala, S , Martinez-Rodriguez, B, Pomante, L, Martinez-Ortega, J-F & Santic, M 2019, The AFarCloud ECSEL Project. En N Konofaos & P Kitsos (eds.), unknown. Proceedings - Euromicro Conference on Digital System Design, DSD 2019, IEEE, pp. 414-419, 22nd Euromicro Conference on Digital System Design, DSD 2019, Kallithea, Chalkidiki, Grecia, 28/08/19. https://doi.org/10.1109/dsd.2019.00066

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AU - Curuklu, Baran

AU - Fresco, Roberto

AU - Johansen, Gorm

AU - Bilbao-Arechabala, Sonia

AU - Martinez-Rodriguez, Belen

AU - Pomante, Luigi

AU - Martinez-Ortega, Jose-Fernan

AU - Santic, Marco

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - Agriculture

KW - Monitoring

KW - Animals

KW - Real-time systems

KW - Sensors

KW - Production

KW - Europe

KW - Agriculture

KW - Monitoring

KW - Animals

KW - Real-time systems

KW - Sensors

KW - Production

KW - Europe

KW - autonomous and semi-autonomous vehicles

KW - autonomy and cooperation

KW - crop monitoring

KW - Cyber-Physical Systems

KW - farming robots

KW - Livestock management

KW - Smart & Precision Farming

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U2 - 10.1109/dsd.2019.00066

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M3 - Conference contribution

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T3 - Proceedings - Euromicro Conference on Digital System Design, DSD 2019

SP - 414

EP - 419

BT - unknown

A2 - Konofaos, Nikos

A2 - Kitsos, Paris

PB - IEEE

T2 - 22nd Euromicro Conference on Digital System Design, DSD 2019

Y2 - 28 August 2019 through 30 August 2019

ER -

The AFarCloud ECSEL Project

Resumen

Serie de la publicación

Conferencia

Palabras clave

Project and Funding Information

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

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