Ai and Remote Sensing Combine For Early, Accurate Crop Mapping

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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Selected Foundation News

A customized collection of news from foundations from around the Web.

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Zainab Ansell Honored For Transforming Tanzania's Tourism Industry

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Up to $10K Available From Cardinia Community Foundation Grants

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Exeter Sees Growth in Social Enterprise Sector


A partner at The Fruit Tree for Business LLP and co-founder of ESSENCE, Lorna Turner, discusses why Social Enterprise Day is a good time to celebrate Exeter’s thriving social enterprise scene.




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