Leaf disease detection using CNN-Deep learning Project
In this image processing project a deep learning-based model is proposed to solve the problem.deep neural layer is trained using public dataset containing images of healthy and diseased crop leaves. The model serves its objective by classifying images of leaves into diseased category based on the pattern of defect. The leaves have texture and visual similarities which attributes for identification of disease type. Hence, computer vision employed with deep learning provides the way to solve this problem.
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