Deep Learning for Post-Harvest Grape Diseases Detection
نویسندگان
چکیده
Post-harvest fruit grading is a necessary step to avoid disease related loss in quality. This relevant the context of Champagne industry where grapes can not be manipulated by machines crushing. Our team have been developing computer vision based solution automate this process. In paper, our main contribution usage PSPnet segmentation model for real-time visible symptoms detection with IoU score 58%. The associated classification reach 95%, which improved previous work. We also study MobileNet-V2 model’s ability discriminate between different grape diseases ideal condition.
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ژورنال
عنوان ژورنال: Ambient intelligence and smart environments
سال: 2023
ISSN: ['1875-4163', '1875-4171']
DOI: https://doi.org/10.3233/aise230025