BPUM is a model that combines Bayesian probability theory and artificial intelligence.
BPUM achieved crop identification 1 to 2 months earlier than traditional methods with over 94% overall accuracy.
Early mapping allows for more efficient use of water, fertilizers, and labor.
The model contributes to sustainable agriculture practices by reducing dependence on labor-intensive ground surveys and enabling precision interventions that minimize environmental impact.
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