Abstract: Crop diseases have grown significantly in recent years due to severe climate change and weakened crop immunity. This results in widespread crop destruction, lower cultivation, and ultimately financial loss for farmers Recognizing the illness and treating it have become significant challenges due to the diversity of diseases growing quickly and farmers' lack of expertise. The texture and visual similarity of the leaves help determine the kind of illness. Therefore, the resolution to this issue lies in the use of deep learning to computer vision. In this study, a deep learning-based model using images of both well and ill crop leaves is proposed, and it is trained on a public dataset. The model accomplishes its goal by categorizing photos of leaves into categories according to the pattern of defect.
Keywords: crop image dataset, CNN, MobileNet, ResNet.
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DOI:
10.17148/IJARCCE.2024.134168
