Tag Archives: deep learning
VitisGen2 researchers describe improved deep learning method for quantification of Grape PM at ASABE Meeting
Deep learning-based saliency maps for the quantification of grape powdery mildew at the microscopic level VitisGen2 team members Tian Qiu, Anna Underhill, Surya Datta Sapkota, Lance Cadle-Davidson, and Yu Jiang recently presented a paper at the 2021 American Society of … Continue reading
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Tagged ASABE, Blackbird, deep learning, grape powdery mildew, image analysis, saliency maps, VitisGen2
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