AI achieves 84% accuracy in identifying Senegal's smallholder crops with limited data

This development comes as Senegal's agriculture is predominantly small-scale and rain-dependent, making the population vulnerable to climate shocks. The use of AI for crop identification offers a promising tool for monitoring farming impacts in a region where satellite crop-mapping technologies are largely inaccessible.

Originally published by gnews