https://github.com/razamehar/plant-disease-detection-using-yolo
This project aims to develop a robust plant disease detection system using advanced machine learning techniques, primarily leveraging YOLO for object detection. The workflow includes data preprocessing, feature extraction, non-negative matrix factorization, fuzzy clustering, and model training.
https://github.com/razamehar/plant-disease-detection-using-yolo
fuzzy-cmeans-clustering non-negative-matrix-factorization object-detection plant-disease-detection python tensorflow yolov8
Last synced: 2 months ago
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This project aims to develop a robust plant disease detection system using advanced machine learning techniques, primarily leveraging YOLO for object detection. The workflow includes data preprocessing, feature extraction, non-negative matrix factorization, fuzzy clustering, and model training.
- Host: GitHub
- URL: https://github.com/razamehar/plant-disease-detection-using-yolo
- Owner: razamehar
- License: mit
- Created: 2024-09-29T13:30:34.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-01-18T00:33:27.000Z (4 months ago)
- Last Synced: 2025-01-18T01:27:00.193Z (4 months ago)
- Topics: fuzzy-cmeans-clustering, non-negative-matrix-factorization, object-detection, plant-disease-detection, python, tensorflow, yolov8
- Language: Jupyter Notebook
- Homepage:
- Size: 22.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0