Studies on Detecting Plant Leaf Disease Using KNN Classifier and Severity Measurement

Abstract

Food is one of the most basic needs of living beings. It is very essential to grow a sufficient quantity of crops to cope with the growing population. With time, it is seen that plants are being affected by various kinds of diseases. Different plant diseases are a major influence on agricultural output limitations, and they are generally difficult to control. As a result, early detection of plant diseases is crucial for avoiding output losses and improving the quality of agricultural goods. This research paper proposes a method to detect and classify the disease on plant leaves with a severity measurement for the grading system. The paper describes a machine learning-based detection and classification of diseases like early blight and late blight on "potato leaf" using the KNN classifier. Our research focuses on a rigorous examination of potato plant disease segmentation approaches.

Plant phenotyping relevance

植物葉の病害を画像から検出・分類し、病害重症度を測定する手法が研究の中心であり、植物状態の表現型推定に該当する。

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