Western AI Models “Fail Spectacularly” in Farms and Forests Abroad
By Rina Chandran
When scientist Catherine Nakalembe set out to map crop types in western Kenya, she had plenty of data from satellite images, but couldn’t use artificial intelligence to analyze it because the data could not recognize local crops. She decided to collect her own data, fitting GoPro cameras on the helmets of dozens of volunteers, and training the facial recognition technology to identify maize, beans, and cassava. They collected over 5 million images in two weeks.
Photo courtesy of mad mags.
Source: Rest of World (link opens in a new window)
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- Agriculture, Technology
