irisTECH: An in situ dataset for variable rate fertilization

<p>In this repository we present the data from irisTECH pilot activities realted to variable rate fertilization. irisTECH aspires to develop a novel, easy-to-use and low-cost, variable rate fertilization system for application in linear crops. The project is based on hyperspectral sensors and actuators combined with the functions of a system utilizing artificial intelligence technology in order to perform real time identification of crop/soil system in fertilizer and then apply the necessary quantity of granular fertilizers if needed. The proposed approach is opposed to existing solutions that require information collection, offline map editing and mapping, and then re-visit to the field for application. irisTECH utilizes state-of-the-art technologies and in particular emerging developments in the field of internet of things (IoT), artificial intelligence, embedded systems, cloud computing and image processing. In this rapidly expanding market, from a commercial perspective, the proposed project aspires to be an important research and innovation action with a targeted impact at national and wider international level.</p>