Ai and Remote Sensing Combine For Early, Accurate Crop Mapping

credit: JOHN MCCARRON

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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