它将预训练模型与用户友好的Streamlit界面相结合，提供快速的初步病害评估，尤其适合技术经验有限的农民。
Agri Vision is a simple crop health classification application that uses a pre-trained deep learning model to identify possible diseases from crop leaf images.
The application is designed to give farmers a quick preliminary assessment of crop health and provide simple guidance based on the detected condition.
All the work was done by me and my teammate, Ajohn, we just did it on the school computer so the PR was required.
https://github.com/user-attachments/assets/d34747e4-0481-42de-b469-03e264ff1c39
Agri Vision currently supports:
The model can identify 15 different crop conditions across these crops.
The application follows a simple process:
Agri Vision uses a pre-trained TensorFlow model stored in the following file:
crop_disease_model.h5
The model expects input images with a size of:
224 x 224 pixels
The model predicts one of 15 possible crop conditions.
These include:
For the best results, users should:
Agri Vision is a simple crop health classification application that uses a pre-trained deep learning model to identify possible diseases from crop leaf images.
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