Tomato Leaf Disease Classification

[Varunshiyam]

Is your feature request related to a problem? Please describe.

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.

Describe the solution you'd like

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.

[github-actions]

Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR,
Pull the latest changes to avoid any merge conflicts.

• Attach before & after screenshots in your PR for clarity.
• Include the issue number in your PR description for better tracking.
  Happy open-source contributing!☺️

[github-actions]

Hello @Varunshiyam! Your issue #874 has been closed. Thank you for your contribution!