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AFarCloud

Financiado

Cerrado

Aggregate Farming in the Cloud

Farming is facing many economic challenges in terms of productivity and cost-effectiveness, as well as an increasing labour shortage partly due to depopulation of rural areas. Furthermore, reliable detection, accurate identificati... ver más

30/11/2021

UPM

27M€

Presupuesto del proyecto: 27M€

Líder del proyecto

UNIVERSIDAD POLITÉCNICA DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 3950

Fecha límite participación Sin fecha límite de participación.

Ver 61 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-11-30

ECSEL-2017-2: RIA Scope:An ECSEL Research and Innovation Action (RIA) primarily consists of activities aiming to estab...

I+D

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

61 Participantes

UPM

240.63K€ | Lider

MUNDIAUDIT

304.65K€ | Participante

MTECH

213.75K€ | Participante

APP4

92.16K€ | Participante

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Duración del proyecto: 42 meses Fecha Inicio: 2018-05-17
Fecha Fin: 2021-11-30

Líder del proyecto

UNIVERSIDAD POLITÉCNICA DE MADRID No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 3950

Presupuesto del proyecto 27M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Farming is facing many economic challenges in terms of productivity and cost-effectiveness, as well as an increasing labour shortage partly due to depopulation of rural areas. Furthermore, reliable detection, accurate identification and proper quantification of pathogens and other factors affecting both plant and animal health, are critical to be kept under control in order to reduce economic expenditures, trade disruptions and even human health risks. AFarCloud 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. The AFarCloud project also aims to make farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh, thus opening up new applications and ensuring re-usability, as heterogeneous standard vehicles can combine their capabilities in order to lift farmer revenue and reduce labour costs. The achievements from AFarCloud will be demonstrated in 3 holistic demonstrators (Finland, Spain and Italy), including cropping and livestock management scenarios and 8 local demonstrators (Latvia, Sweden, Spain and Czech Republic) in order to test specific functionalities and validate project results in relevant environments located in different European regions. AFarCloud outcomes will strengthen partners’ market position boosting their innovation capacity and addressing industrial needs both at EU and international levels. The consortium represents the whole ICT-based farming solutions’ value chain, including all key actors needed for the development, demonstration and future market uptake of the precision farming framework targeted in the project.

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