利用CNN进行植物病害检测综述

Prameetha Pai, Abhinav Bakshi, Ayush Kumar, Brijesh Anand, Devesh Bhartiya, Ramesh Babu D R
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引用次数: 1

摘要

植物病害的鉴别证明和定位是决定收获创造和农业综合企业产量不足的基本问题之一。对植物疾病的检查是对植物上任何明显的地方的调查,这有助于我们区分两株植物,实际上是任何斑点或阴影隐藏。植物的可管理性是农业转折事件的核心问题之一。植物病害的鉴定是极具挑战性的。这种疾病的可识别证据需要大量的工作和能力,大量的植物领域的信息和对这些疾病的确认检查。因此,照相术用于植物疾病的位置。疾病检测遵循图像获取、图像提取、图像分割和图像预处理技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plant Disease Detection Using CNN – A Review
The distinguishing proof and location of sicknesses of plants is one of the essential concerns which decide the deficiency of the yield of harvest creation and agribusiness. The examinations of plant sickness are the investigation of any noticeable places in any piece of the plant which assists us with separating between two plants, actually any spots or shading conceals. The manageability of the plant is one of the central issues that are for agrarian turn of events. The ID of plant illnesses is extremely challenging to get right. The recognizable proof of the affliction requires bunches of work and ability, loads of information in the field of plants and the examinations of the acknowledgment of those illnesses. Hence, picture taking care of is used for the location of plant ailments. The Detection of illnesses follows the techniques for picture obtaining, picture extraction, picture division, and picture pre-handling.
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