T. Suba

An optimized machine learning approach for reliable agronomic parameter prediction in precision farming systems

Optimized machine learning models are very important for improving predictive performance in precision agriculture because they let us analyze soil and environmental data in a data-driven way. But conventional predictive methods often can’t be used to make generalizations because agronomic data is often very variable,...