https://github.com/jorgermduarte/isec-ic
This project focuses on early disease detection in plant products using machine learning techniques. By leveraging convolutional neural networks (CNNs) and optimization algorithms like PSO, Random Search, and Grid Search, the project aims to develop accurate models for identifying diseases in crops and fruits.
https://github.com/jorgermduarte/isec-ic
agriculture cnn disease-detection machine-learning sustainability
Last synced: 8 months ago
JSON representation
This project focuses on early disease detection in plant products using machine learning techniques. By leveraging convolutional neural networks (CNNs) and optimization algorithms like PSO, Random Search, and Grid Search, the project aims to develop accurate models for identifying diseases in crops and fruits.
- Host: GitHub
- URL: https://github.com/jorgermduarte/isec-ic
- Owner: jorgermduarte
- License: mit
- Created: 2023-10-09T21:31:03.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-11T22:39:42.000Z (over 1 year ago)
- Last Synced: 2025-03-02T10:46:58.537Z (8 months ago)
- Topics: agriculture, cnn, disease-detection, machine-learning, sustainability
- Language: Jupyter Notebook
- Homepage:
- Size: 1.11 GB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE