Background Pastures are the main feed source for cattle in Brazil, and pasture-based production systems require frequent measurements and monitoring of forage productivity and quality to optimize animal performance. In this context, this study aimed to develop and evaluate machine learning models for the quantitative estimation of dry matter (DM), crude protein (CP), and neutral detergent fiber (NDF) in tropical pastures using...