An Improved YOLOv5 for Accurate Detection and Localization of Tomato and Pepper Leaf Diseases
Balkis Tej,
Soulef Bouaafia,
Mohamed Ali Hajjaji
et al.
Abstract:Agriculture serves as a vital sector in Tunisia, supporting the nation's economy and ensuring food production. However, the detrimental impact of plant diseases on crop yield and quality presents a significant challenge for farmers. In this context, computer vision techniques have emerged as promising tools for automating disease detection processes. This paper focuses on the application of the YOLOv5 algorithm for the simultaneous detection and localization of multiple plant diseases on leaves. By using a sel… Show more
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