Project Scope

PROTECT-Agri project aims to develop, demonstrate, and evaluate a multi-purpose autonomous ground robotic platform capable of performing measurements on an individual plant basis. With highly accurate insights at the individual plant level, farmers will be able to respond to the fluctuating availability of growth factors in a more timely and informed manner. The ground plan of a greenhouse does not change over time, so an end-to-end solution specifically for greenhouses will be created and tested. The ground robotic platform will incorporate computer vision methods for vision plant recognition, soil sensing and multispectral plant analysis for plant health analysis. Each crop is spatially registered at the first robotic scouting step by being assigned a crop-ID. Individual crop-IDs are identified during time-consecutive scouting sessions through visual matching, allowing historical records to be generated on a plant-by-plant basis. The beneficiaries will be able to view the outcomes of the robotic measurements via a digital platform that combines information from multiple robotics components and from already-existing Internet of Things (IoT) devices embedded into the greenhouses.