ML Powered App to assist farmers in plant disease detection and solve.
app.video-1.mp4
Download Product Apk here
Disease Detection using Machine Learning Model enabled through Android app.
Mode of spread, survival and management is suggested for the disease detected by the app using ML model.
- Framework : ---
- Architecture : ---
- Validation Accuracy : ---
The input image dataset is converted to tensor and is passed through a --- model, returning an output value corresponding to the plant disease. Input image tensor is passed through ---four--- convolutional layers and then flattened and inputted to fully connected layers.
Download Product Apk here
2.10.3
$ cd app
$ flutter run$ cd app
$ flutter build apk- No authentication needed
- Full app features available in offline
- Uses camera or device media to get an image of the crop
- Preview the image and submit it for disease detection
- Result page showing detected disease and survival technique
- Python
- Flutter
Mode of spread, survival and management information collected from
Syed Mahfuzur Rahman Flutter Dev | Nosin Ibna Mahbub ML Model |