AI identifies Senegal's smallholder crops 84% of the time using limited training data

Researchers used an open-source model called Tessera to map smallholder crops in Senegal with 84 percent accuracy. The tool works with low computing power and uses past ground surveys to classify crops across different years. Researchers and aid groups can now track small farm production without conducting expensive yearly ground visits.

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