Detection of unhealthy region of plant leaves using image processing and genetic algorithm

V. Singh
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引用次数: 158

Abstract

Agricultural productivity is that thing on which Indian Economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases means when they appear on plant leaves. This paper presents an algorithm for image segmentation technique used for automatic detection as well as classification of plant leaf diseases and survey on different diseases classification techniques that can be used for plant leaf disease detection. Image segmentation, which is an important aspect for disease detection in plant leaf disease, is done by using genetic algorithm.
基于图像处理和遗传算法的植物叶片不健康区域检测
农业生产力是印度经济高度依赖的东西。这就是为什么植物病害检测在农业领域具有重要作用的原因之一,因为植物病害是很自然的。如果在这方面不采取适当的措施,则会对工厂造成严重影响,从而影响各自的产品质量,数量或生产力。通过一些自动化技术来检测植物疾病是有益的,因为它减少了大型农作物农场的大量监测工作,而且在很早的阶段就能检测到疾病的症状,意味着当疾病出现在植物叶片上时。本文提出了一种用于植物叶片病害自动检测与分类的图像分割技术算法,并对可用于植物叶片病害检测的不同病害分类技术进行了综述。利用遗传算法对植物叶片病害进行图像分割,是病害检测的一个重要方面。
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