Skip to content

Plant Disease Detection for Sustainable Agriculture An AI-driven system leveraging Machine Learning (ML) and Computer Vision to detect and classify plant diseases from leaf images. Built with CNNs, it provides real-time insights, reduces pesticide use, and supports sustainable farming. Technologies: Python, TensorFlow, OpenCV. 🌱🚜

Notifications You must be signed in to change notification settings

komalg11/Plant-Disease-Detection-for-Sustainable-Agriculture-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

7 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Plant-Disease-Detection-for-Sustainable-Agriculture-

Plant Disease Detection for Sustainable Agriculture An AI-driven system leveraging Machine Learning (ML) and Computer Vision to detect and classify plant diseases from leaf images. Built with CNNs, it provides real-time insights, reduces pesticide use, and supports sustainable farming. Technologies: Python, TensorFlow, OpenCV. 🌱🚜

About

Plant Disease Detection for Sustainable Agriculture An AI-driven system leveraging Machine Learning (ML) and Computer Vision to detect and classify plant diseases from leaf images. Built with CNNs, it provides real-time insights, reduces pesticide use, and supports sustainable farming. Technologies: Python, TensorFlow, OpenCV. 🌱🚜

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages