About this document
Project Leaf Disease Detection by skar6086 is a document available to read on EtoBox.
The Leaf Disease Detection project aims to develop an automated system for identifying and classifying plant diseases using machine learning techniques, achieving over 90% accuracy in detecting various diseases. Utilizing Python, Tensorflow, and a Convolutional Neural Network (CNN), the project processes images of healthy and diseased leaves to assist farmers in early disease detection. The system enhances agricultural productivity by minimizing manual inspections and providing timely disease management sol
- Author
- skar6086
- Language
- EN