A PSO-CNN-based approach for Enhancing Precision in Plant Leaf Disease Detection and Classification

IF 3.3 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Informatica Pub Date : 2023-12-09 DOI:10.31449/inf.v47i9.5188

Ashish Gupta, Deepak Gupta, Mohammad Husain, Mohammad Nadeem Ahmed, Arshad Ali, Parveen Badoni

引用次数: 0

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基于 PSO-CNN 的植物叶病检测与分类精确度提升方法

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

Informatica 工程技术-计算机：信息系统

CiteScore

5.90

自引率

6.90%

发文量

审稿时长

12 months

期刊介绍： The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.