Agriculture › Agricultural Innovation & Technology Transfer Programs
Machine Learning Algorithms for Crop Yield Prediction and Resource Optimization
This research develops and validates artificial intelligence models incorporating multispectral satellite data, weather variables, and agronomic practices to predict yield outcomes. The scientific contribution establishes data-driven frameworks for optimizing input application rates and identifying decision-support tools for resource-constrained farming systems.
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