Detection and Classification of Leaf Diseases in Tomato Plants and Recommendations for Controlling the Spread

Sarakesh R., Jenila Livingston L. M., Rajkumar S., Agnel Livingston L. G. X.

2024

Abstract

Leaf disease in tomatoes is the most important factor influencing crop output quantity and quality, hence proper diagnosis and classification are essential. Different diseases affect tomato production. This study focuses on employing deep learning techniques for the disease’s detection in tomato plants. Despite tomatoes being a versatile ingredient highly sought after year-round, the significant annual loss in crop yields due to diseases poses a substantial challenge in cultivation. The objective is to create a system capable of precisely identifying various tomato diseases by analysing images. The dataset utilized in this study encompasses different types and stages of tomato diseases, including Bacterial Spot, Early or Late Bright, Leaf Mold, Spider Mites, Target Spot, Septoria Leaf Spot, Mosaic and Yellow Leaf Curl Viruses. Upon disease identification, the study presents information on methods to control its spread. The models employed in this study include Convolutional Neural Network (CNN), DenseNet169, and an ensemble model combining pre-trained CNN and DenseNet169. The classification results of the study demonstrated an accuracy of 95% for the ensemble model, surpassing the accuracy of individual models. This success in recognizing diseases in tomato plants holds promise for enhancing agricultural practices.

Paper Citation

in Harvard Style

R. S., L. M. J., S. R. and L. G. X. A. (2024). Detection and Classification of Leaf Diseases in Tomato Plants and Recommendations for Controlling the Spread. In Proceedings of the 1st International Conference on Emerging Innovations for Sustainable Agriculture - Volume 1: ICEISA; ISBN 978-989-758-714-6, SciTePress, pages 151-160. DOI: 10.5220/0012884700004519

in Bibtex Style

@conference{iceisa24,
author={Sarakesh R. and Jenila L. M. and Rajkumar S. and Agnel L. G. X.},
title={Detection and Classification of Leaf Diseases in Tomato Plants and Recommendations for Controlling the Spread},
booktitle={Proceedings of the 1st International Conference on Emerging Innovations for Sustainable Agriculture - Volume 1: ICEISA},
year={2024},
pages={151-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012884700004519},
isbn={978-989-758-714-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Emerging Innovations for Sustainable Agriculture - Volume 1: ICEISA
TI - Detection and Classification of Leaf Diseases in Tomato Plants and Recommendations for Controlling the Spread
SN - 978-989-758-714-6
AU - R. S.
AU - L. M. J.
AU - S. R.
AU - L. G. X. A.
PY - 2024
SP - 151
EP - 160
DO - 10.5220/0012884700004519
PB - SciTePress