利用卷积神经网络检测玉米叶片病害：基于预训练 VGG16 架构的移动应用程序

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-08-04 DOI:10.1080/01140671.2024.2385813

Hansamali Paul, Hirunika Udayangani, Kalani Umesha, Nalaka Lankasena, Chamara Liyanage, Kasun Thambugala

引用次数: 0

摘要

事实证明，依靠目测来识别玉米叶病是不可靠的，往往会导致农药施用不当和相关的健康危害。食品安全要求对玉米叶片进行...

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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Maize leaf disease detection using convolutional neural network: a mobile application based on pre-trained VGG16 architecture

Reliance on visual inspection for Maize leaf disease identification proves unreliable, often resulting in inappropriate pesticide application and associated health hazards. Food security requires p...

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.