Abstract:Apple orchards in the Imouzzer Kandar region (Morocco) suffer from numerous leaf diseases causing extreme yield losses. Early diagnosis favors the control of these diseases by optimizing the use of chemical products and reducing environmental impacts. In this context, we propose the deployment of an automated detection and classification system for these apple leaf diseases. We have pre-trained the convolutional neural network MobileNet V2 and evaluated its performance across several hyperlearning parameters t… Show more
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