Plant Disease Detection using CNN Models

IF 0.3
Shreyas Bobde, Kavita B. Kalambe, Anurag Tripathi, Kushal Deoda, Vyankatesh Haridas
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引用次数: 0

Abstract

In this modern planet it is very much important to have a good and healthy life for an individual to survive. Just as we humans have a lot of diseases, similarly many diseases are found in plants too. Many models have been made who detect these diseases, but they are not able to give such good accuracy to know which disease has happened. Recognizing plant infection in crops utilizing pictures is an inherently troublesome assignment.This research demonstrates the potential of disease detection models for plant leaves. It covers a number of stages, including picture capture, classification and many more. Extensive researches have already been done by using the CNN model. We have analyzed all these CNN models and on the basis of analysis we have made our own.
利用CNN模型进行植物病害检测
在这个现代星球上,一个人要想生存,拥有一个良好健康的生活是非常重要的。就像我们人类有很多疾病一样,植物也有很多疾病。已经建立了许多模型来检测这些疾病,但它们不能给出如此好的准确性来知道哪种疾病发生了。利用图片识别作物的植物侵染是一项棘手的任务。本研究证明了植物叶片疾病检测模型的潜力。它涵盖了许多阶段,包括图片捕获,分类等等。利用CNN模型已经做了大量的研究。我们分析了所有这些CNN模型,并在分析的基础上做出了自己的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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