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Disease Diagnosis in Tomato Leaves using AI with Python Technology

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Volume-10 | Issue-3

Last date : 26-Jun-2026

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Disease Diagnosis in Tomato Leaves using AI with Python Technology


Twinkal Arun Meshram



Twinkal Arun Meshram "Disease Diagnosis in Tomato Leaves using AI with Python Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.1172-1177, URL: https://www.ijtsrd.com/papers/ijtsrd79791.pdf

Tomato plants are highly susceptible to various diseases that can significantly reduce crop yield and quality. Early and accurate detection of these diseases is crucial for preventing large-scale agricultural losses. This research presents an AI-based tomato leaf disease detection system using deep learning and computer vision techniques. A Convolutional Neural Network (CNN) model is trained on a labeled dataset of tomato leaf images to classify leaves as healthy or diseased, identifying specific diseases such as Early Blight, Late Blight, and Leaf Mold. The system is integrated into a web-based application for easy accessibility, allowing farmers to upload leaf images for real-time disease diagnosis. Extensive experiments demonstrate that the proposed model achieves high accuracy (>90%), making it a reliable and efficient tool for disease detection. The study also explores potential improvements, including mobile deployment, IoT integration, and multi-crop expansion. This AI-driven solution can revolutionize modern agriculture by enabling early disease detection, reducing pesticide overuse, and improving overall crop productivity.

Python, CNN, ML, AI, Image processing, Deep learning.


IJTSRD79791
Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025
1172-1177
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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