The model utilizes a custom dataset composed of various images of plant leaves. Each image is labeled to indicate the plant species and the corresponding disease. These images are used to train and ...

Chen et al. (2021) proposed the application of deep CNN to transfer learning, specifically integrating MobileNet with an SE block, to improve the identification of plant diseases. The SE-MobileNet ...

This project implements a deep learning model for detecting plant diseases from leaf images. The model can identify 38 different classes of healthy and diseased plant leaves with high accuracy.

Plant illnesses represent a considerable risk to the productivity of agriculture and the security of our food supply. This paper introduces an automated system utilizing deep learning for the ...

Identifying disease in plants is a major research topic in agriculture and it is also important so that no crops are going to waste. As India has a large population, it becomes more important to ...