Tomato Leaf Disease Classification #877
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👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. |
UppuluriKalyani
approved these changes
Nov 10, 2024
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🎉🎉 Thank you for your contribution! Your PR #877 has been merged! 🎉🎉 |
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Related Issues or bug
Tomato plants are highly susceptible to a variety of diseases that can affect both yield and quality. Traditional methods of diagnosing plant diseases are often time-consuming, prone to error, and reliant on expert knowledge. An automated approach to identifying diseases can improve diagnostic accuracy and enable timely intervention, thereby reducing crop losses and increasing agricultural productivity. This project addresses the challenge by implementing a deep learning-based model capable of classifying multiple tomato leaf diseases with high accuracy.
Fixes: #874
Proposed Changes
This project focuses on classifying tomato leaf diseases using a Convolutional Neural Network (CNN) model. The goal is to accurately detect and classify common diseases affecting tomato plants, such as bacterial spot, early blight, late blight, leaf mold, and more. Leveraging a deep learning approach, this project achieves a classification accuracy of approximately 94%, making it a valuable tool for precision agriculture and plant disease management.