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Computer Science Prize-winning U of T student team uses AI to beat banana blight A team of U of T undergraduate students earned top prize in a student-organized global AI competition for their plan to use AI to forecast infections of black Sigatoka, a fungal disease that blackens bananas from the inside out (photo by Neil Palmer) Fuelled by a changing climate, plant pathogens encounter increasingly favourable conditions to spread and wreak havoc on global crop yields. But could artificial intelligence help predict the spread of disease, buying farmers valuable time to take preventative measures? As part of an effort that took top honours and a $20,000 prize in the recent ProjectX global undergraduate research competition, a team of University of Toronto students proposed the use of a new machine learning architecture to forecast infections of black Sigatoka, a fungal disease that blackens bananas from the inside out.

Republic ofBritish columbiaChan cheeZiyad edherYuchen wangJesse bettencourtSornnujah kathirgamanathanUniversity of torontoAgriculture organization of the united nationsMatthieu chan cheeMinh duc hoangShion fujimoriTemerty facultySigatoka theAgriculture organizationUnited nations