CodeByPinar/Plant-Health-Monitoring
🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preprocessing and robust model selection.
This project helps agricultural professionals, farmers, and botanists automatically identify plant diseases. By analyzing plant images and environmental data, it detects and classifies various plant diseases, providing clear insights into plant health. This system allows for proactive disease management.
No commits in the last 6 months.
Use this if you need an automated way to quickly and accurately detect diseases in plants using images and environmental factors.
Not ideal if you need a system that offers treatment recommendations or integrates directly with irrigation or pest control systems.
Stars
43
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 28, 2024
Commits (30d)
0
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