【文件属性】：
文件名称：Digital image processing techniques for detecting, quantifying
文件大小：367KB
文件格式：PDF
更新时间：2021-08-20 03:30:43
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This paper presents a survey on methods that use digital image processing techniques to detect, quantify and classify
plant diseases from digital images in the visible spectrum. Although disease symptoms can manifest in any part of the
plant, only methods that explore visible symptoms in leaves and stems were considered. This was done for two main
reasons: to limit the length of the paper and because methods dealing with roots, seeds and fruits have some
peculiarities that would warrant a specific survey. The selected proposals are divided into three classes according to
their objective: detection, severity quantification, and classification. Each of those classes, in turn, are subdivided
according to the main technical solution used in the algorithm. This paper is expected to be useful to researchers
working both on vegetable pathology and pattern recognition, providing a comprehensive and accessible overview
of this important field of research.