Fields – Prediction and Automatic Detection of Crop Growth Stages (SPAD)) is a user-friendly decision-support tool designed to aid farmers in accurately defining and tracking crop growth stages, facilitating optimal nutrient application timing for arable crops like winter wheat, winter oilseed rape, maize, soybeans, and sunflower. By leveraging data analysis and machine learning from actual field data, the system provides tailored recommendations for each crop, accessible without prior IT knowledge.

The central goal of the project is to adaptively and remotely monitor plant growth, considering external conditions like weather and soil, to enable timely nutrient supplementation and enhance resource efficiency, ultimately maximizing crop yields across diverse agricultural landscapes.