📰 News14 March 2026·2 min read·
Western AI Models Fail on Local Crops and Forests in Global South
Source: rest-of-world
AI tools developed by major Western tech companies are struggling to perform reliably in agricultural and forestry contexts outside the West, often failing to recognise local crops, tree species, or farming conditions. The models, trained predominantly on Western data, require significant adaptation to be useful in African, Asian, and Latin American environments. Experts warn this data gap risks deepening the digital divide in food security and land management.
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