[1]宏梦云,张艳,黄莉,等.作物病状的可见光图像评价指标综述[J].江苏农业学报,2025,(09):1860-1872.[doi:doi:10.3969/j.issn.1000-4440.2025.09.021]
　HONG Mengyun,ZHANG Yan,HUANG Li,et al.Summary of visible light image evaluation indicators of crop disease symptoms[J].,2025,(09):1860-1872.[doi:doi:10.3969/j.issn.1000-4440.2025.09.021]
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作物病状的可见光图像评价指标综述()

江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2025年09期
页码:
1860-1872
栏目:
综述
出版日期:
2025-09-30

文章信息/Info

Title:
Summary of visible light image evaluation indicators of crop disease symptoms
作者:
宏梦云1; 张艳1; 2; 黄莉1; 周兴娇1; 庞浩2; 黄人帅1
(1.贵阳学院/贵州省教育厅农产品无损检测工程研究中心,贵州贵阳550005；2.贵州大学大数据与信息工程学院,贵州贵阳550025)
Author(s):
HONG Mengyun1; ZHANG Yan1; 2; HUANG Li1; ZHOU Xingjiao1; PANG Hao2; HUANG Renshuai1
(1.Guiyang University/Agricultural Products Nondestructive Testing Engineering Research Center, Guizhou Provincial Department of Education, Guiyang 550005, China;2.School of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China)
关键词:
作物病状; 病状评价指标; 纹理特征; 颜色特征; 可见光图像
Keywords:
crop disease symptoms; disease symptom evaluation index; texture characteristics; color characteristics; visible light image
分类号:
S435；TP391.41
DOI:
doi:10.3969/j.issn.1000-4440.2025.09.021
文献标志码:
A
摘要:
作物病害是农业生产中的不利影响因素,可造成作物品质和产量受损,甚至绝收。可见光成像技术具有操作简单、成本低、效率高等优点,已成为作物病害检测中的关键技术手段。本文综述了作物的生物胁迫性病害的一般发病机理,以及借助可见光图像识别作物病害的生物学基础。此外,本文结合可见光图像特征在作物病状检测和识别中的应用情况,概述了纹理特征和颜色特征2类常见可见光图像病状评价指标,并总结了不同颜色特征及纹理特征在作物病状可见光图像识别中的优点及局限性。最后，提出了基于可见光图像特征的作物病状评价指标研究目前存的问题,并提出展望,为构建更精准的作物病害评价指标体系及病害检测和识别模型提供参考。
Abstract:
Crop diseases are adverse factors in agricultural production, which can cause damage to crop quality and yield, or even total crop failure. Visible light imaging technology has the advantages of simple and easy operation, low cost and high efficiency, and has become a key technical means in crop disease detection. This paper summarized the general pathogenesis of crop biostress diseases, and the biological basis of visible light image recognition of crop diseases. In addition, combined with the application of visible light image features in crop disease detection and recognition, this paper summarized two common visible light image disease symptom evaluation indicators of texture features and color features, and generalized the advantages and limitations of different color features and texture features in identification of crop disease symptoms through visible light image recognition. Finally, the problems in researches of evaluation indicators for crop disease symptoms based on visible light image features were proposed, and the prospect was put forward to provide reference for the construction of more accurate crop disease evaluation index system as well as detection and identification model.

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备注/Memo

备注/Memo:
收稿日期：2024-11-25基金项目：国家自然科学基金项目(62265003、62141501)作者简介：宏梦云(2001-),女,贵州安顺人,硕士研究生,研究方向为农作物病害检测。(E-mail)2897924116@qq.com通讯作者：张艳,(E-mail)Eileen-zy001@sohu.com
更新日期/Last Update: 2025-10-27