Raphael B. A. Fernandes

Coupling Soil Testing Data with Machine Learning Algorithms to Predict Plant Responses to Phosphorus in Sub-Saharan Africa

Optimizing phosphorus (P) management in agriculture is critical for food security and sustainable development. In this study, using maize as a model crop, we propose and validate a machine learning–based framework that integrates soil testing data, management practices, and climatic variables to improve estimates of...