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.

Contributions to Adaptive Mission Planning for Cooperative Robotics in the Internet of Things

“…Unmanned Ground Vehicles (UGVs) can be used for any of the tasks in the fertilizing, planting, spraying and harvesting cycle [17]. And the combined use of different technologies, including robotics, in support of precision farming is one of the objectives of the Aggregate Farming in the Cloud (AFarCloud) project [18,19] in which part of the work of this thesis has also been carried out.…”