Nkumba PhD Candidate Develops AI Model for Early Aflatoxin Detection in Groundnuts

In a mind-blowing PhD public defense held at Nkumba University on Friday, April 11, 2025, Lillian Tamale, a PhD Candidate in Computing, unveiled a pioneering deep learning model that harnesses computer vision and image classification techniques for the early detection of aflatoxins in ground nuts. By enabling real-time diagnosis through a mobile-based application, Tamale’s work interwinds cutting-edge artificial intelligence with accessible agricultural tools, potentially reducing aflatoxin-related health risks and post-harvest losses in rural communities.

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