Date of Publication :5th June 2025

Abstract: Plant diseases pose a significant threat to agricultural productivity and food security worldwide. Early and accurate detection is crucial to minimize crop losses and optimize management strategies. This paper presents a review and implementation overview of image processing techniques for plant disease detection, focusing on the Support Vector Machine (SVM) algorithm. The paper discusses the image processing pipeline, the role of SVM in classification, and recent advances, including hybrid models. Scopus-indexed literature is referenced to provide a comprehensive background and highlight the state-of-the-art in this domain.

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