Sivas Bilim ve Teknoloji Üniversitesi

Predicting Lentil Seed Yield from Agronomic Traits Using a Foundation-Augmented Machine Learning Ensemble

Accurate agricultural yield prediction is crucial for crop management and data-driven decision-making. This study proposes a machine learning framework for predicting total lentil seed yield using 264 observations collected during a single growing season at one location in Sivas,...