YOLO-based automated detection of tomato leaf diseases

Za'bah, Nor Farahidah and Mohsin, Ahmad Bashir and Abd Rahman, Faridah (2025) YOLO-based automated detection of tomato leaf diseases. In: 2025 IEEE 11th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 10-11 September 2025, KUALA LUMPUR.

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Abstract

Tomato plants are highly susceptible to various leaf diseases that threaten both crop yield and quality. Traditional disease detection methods rely on manual inspection, which is time-consuming, labour-intensive, errorprone, and impractical for large-scale agricultural use. This article presents a simplified, yet comprehensive overview of an intelligent system developed to automatically detect tomato leaf diseases using YOLOv8, a state-of-the-art deep learning object detection model. The system was trained on a well-annotated and augmented dataset covering eight distinct tomato leaf conditions, including Leaf Mold, Bacterial Spot, Septoria Leaf Spot, and healthy leaves. The trained model achieved a high detection accuracy of 99.3%, outperforming several previous approaches reported in the literature. A user-friendly webbased interface was also created using Gradio to facilitate realworld adoption, allowing farmers and agricultural practitioners to upload leaf images and receive instant, reliable visual predictions. The promising results demonstrate the model’s effectiveness, scalability, and potential for deployment in precision agriculture to reduce crop losses and promote sustainable farming practices.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	Tomato, leaf, YOLOv8, Gradio
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Dr. Nor Farahidah Za'bah
Date Deposited:	20 Nov 2025 16:01
Last Modified:	20 Nov 2025 16:01
Queue Number:	2025-11-Q060
URI:	http://irep.iium.edu.my/id/eprint/124477

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