Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for andriod environment

A. Hase, Priyanka S. Aher, Sudeep K. Hase
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引用次数: 6

Abstract

Plant disease precipitates the noteworthy drop in superiority and quantity of farming harvest. Revealing leaf disease has become vital research issue in this era. It exhibit reimbursement in monitoring huge grassland of crops. Human eye perception is not so much stronger to observe variation in the infected part of leaf. Diagnosing disease in an accurate and timely way is the important task. To identify the cause and solution for disease we have introduced an android application. Our system works on the plants that are infected by diseases like fungi, viruses which detects and classify it by using image processing technique.
android环境下OpenCV框架对番茄、葡萄侵染植株的检测、分类及防治建议
植物病害导致农业收获优势和产量显著下降。揭示叶病已成为这个时代重要的研究课题。它在监测大面积的农作物草原方面具有一定的应用价值。人眼的感知能力并没有那么强,无法观察到叶片受感染部分的变化。准确、及时地诊断疾病是重要的任务。为了确定疾病的原因和解决方案,我们引入了一个android应用程序。我们的系统对感染了真菌、病毒等疾病的植物进行检测,并通过图像处理技术对其进行分类。
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