CYBELE

Overview

The vision of CYBELE is to generate innovation and create value in the domain of agri-food in general, and several of its verticals in the sub-domains of PA and PLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within the industrial (mainly) but also the research community associated with these domains. 

Precision Agriculture (PA) and Precision Livestock Farming (PLF) come to assist in optimising agricultural and livestock production and minimising the wastes and costs. Sensors on fields and crops are starting to provide literally granular data points on soil conditions. Satellites can be at the service of precision agriculture. GPS units on tractors can help determine optimal usage of heavy equipment. Unmanned aerial vehicles, or drones, can patrol fields and alert farmers to crop ripeness or potential problems. 

Key Objectives

01 / INNOVATE 

• To accelerate the pace of digitisation and the innovation potential in the European agri-food sector by designing and proving their applicability
  

02 / INTEGRATE 

• To successfully integrate existing middleware, software components, tools and libraries that could contribute to the project’s aim
  

03 / DESIGN SOLUTIONS 

• To design and deliver a set of industrial, large-scale High-Performance Computing (HPC) solutions to support the processing of very large datasets 
  

04 / BOOST INTEROPERABILITY  

• To facilitate and boost data interoperability and data sharing in the agri-food sector
  

05 / FACILITATE DECISION-MAKING 

• To design and deliver a secure data analytics and visualisation platform to enable and facilitate decision-making