Tomato Leaf Disease Detection Using Deep Learning

Sreya Chowdary Karuturi, Vinnakota Sai Vivek, Charan Mandava, Suthapalli Rishik, Tripty Singh, Jyotsna C, Prakash Duraisamy

2025

Abstract

The recognition of crop diseases is essential to increase the yield and reduce quantity losses in agricultural by products. Plant diseases pose a significant threat to global food security, yet early detection remains challenging in many parts of the world due to the absence of essential infrastructure. Almost 60 percent of the population is related to any kind of agriculture. The combination of expanding smartphone usage and the breakthrough in computer vision and Image classification driven by deep learning has prepared the path for smartphone or cellphone assisted-illness detection. This research presents a deep learning framework identifying the disease on tomato leaves. By utilizing convolutional neural networks (CNNs), the system extracts distinguishing features from input images and classifies them into one of the multiple classes of diseases. The dataset used for training and evaluation consists of diverse images of different tomato plant leaves with various diseases, collected from different sources. Experimental results demonstrate the model's capability to achieve a 99.38% accuracy on test data, outperforming existing approaches. The proposed approach has the potential to assist farmers and researchers in monitoring the health of plants, enabling them to take timely action to prevent or minimize yield losses due to diseases.

Paper Citation

in Harvard Style

Karuturi S., Vivek V., Mandava C., Rishik S., Singh T., C J. and Duraisamy P. (2025). Tomato Leaf Disease Detection Using Deep Learning. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 675-682. DOI: 10.5220/0013639900004664

in Bibtex Style

@conference{incoft25,
author={Sreya Chowdary Karuturi and Vinnakota Sai Vivek and Charan Mandava and Suthapalli Rishik and Tripty Singh and Jyotsna C and Prakash Duraisamy},
title={Tomato Leaf Disease Detection Using Deep Learning},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={675-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013639900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Tomato Leaf Disease Detection Using Deep Learning
SN - 978-989-758-763-4
AU - Karuturi S.
AU - Vivek V.
AU - Mandava C.
AU - Rishik S.
AU - Singh T.
AU - C J.
AU - Duraisamy P.
PY - 2025
SP - 675
EP - 682
DO - 10.5220/0013639900004664
PB - SciTePress