基于机器学习和软计算技术的植物病害分类与检测研究进展

Astha Sharma, Ashwini Kumar
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引用次数: 0

摘要

这项工作包含了叶病发现与众多图像分配技术的概述。数字图像分发是一种不计后果、一致和准确的技术,因为不同的算法同样可以用于植物叶面疾病的检测、识别和分类。本文介绍了不同作者用于疾病识别的系统,如聚类方法、基本彩色成像调查方法、分类器和用于疾病分类的人工神经网络。我们的工作的首要动机是研究不同的叶面疾病发现技术,并提供了各种图像分发方法的概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review : Classification and Detection Of Plants Diseases Using Machine Learning And Soft Computing Techniques
This work contains an overview of leaf diseases discovery with numerous image dispensation techniques. Digital image handing out is a reckless, consistent and accurate technique for different algorithms can likewise be used aimed at disease detection, identifications and classifications of foliar diseases of plants. This the article boons the systems used through various authors for identification diseases such as clustering methods, basic colour imaging investigation methods, classifiers and artificial neural network designed for classifications of ailments. The foremost motivation of our work is on investigation of dissimilar foliar disease discovery techniques and as well offers an outline of various image handing out methods.
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