1. A Machine Learning Framework for Crop Productivity Classification and Risk Assessment

The integration of Artificial Intelligence and Remote Sensing is essential for the early identification of agricultural fields with suboptimal growing conditions. Such capabilities are vital for targeted interventions, supply chain logistics, and agricultural risk management. This study developed and validated a machine learning framework designed to classify the productivity conditions of corn, soybean, and wheat into ‘Low’, ‘Medium’, and ‘High’ tiers, utilizing... J.D. Xavier, K. Schenatto, G.V. Miranda, C.L. Bazzi, R. Sobjak