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叶表观症状识别在大气污染农业环境损害鉴定中的应用

赵晋宇 王伟 赵倩

农业环境科学学报2023,Vol.42Issue(12):2702-2710,9.
农业环境科学学报2023,Vol.42Issue(12):2702-2710,9.DOI:10.11654/jaes.2023-0540

叶表观症状识别在大气污染农业环境损害鉴定中的应用

Research on recognition technology of leaf apparent symptoms to identification of agricultural environmental damage by air pollution

赵晋宇 1王伟 1赵倩1

作者信息

  • 1. 农业农村部环境保护科研监测所,天津 300191
  • 折叠

摘要

Abstract

Leaves are in direct contact with the environment,making them more sensitive to air pollutants.Leaf apparent symptoms are typical symptoms caused by air pollutants that can be used as an indicator of air pollutants and help determine the extent of damage.This paper combs the differences in apparent symptoms,which is the expression of five typical air pollutants damage to crop leaves,and distinguishes the characteristics of leaf symptoms.In this paper,we reviewed the characteristics and differences of the apparent injury symptoms of crops damaged by five typical air pollutants,proposed ideas for identifying air pollutants through leaf apparent symptoms and specific identification techniques,and was applied to typical cases of mango damage identification in Tiandong County,Guangxi Province.Studies have shown that recognition technology for leaf apparent symptoms can identify pollutants quickly and effectively,narrowing the range of investigation and locking pollution sources.It is an intuitive,convenient,easy-to-operate,low-cost,and practical pollution damage identification technology that can provide technical support for non-professionals and administrative law enforcement personnel to quickly find and lock the source of harm.

关键词

叶表观症状/农作物/大气污染物/症状识别/损害鉴定

Key words

leaf apparent symptoms/crop/air pollutants/symptom recognition/damage identification

分类

资源环境

引用本文复制引用

赵晋宇,王伟,赵倩..叶表观症状识别在大气污染农业环境损害鉴定中的应用[J].农业环境科学学报,2023,42(12):2702-2710,9.

基金项目

国家重点研发计划项目(2020YFC0832804) National Key Research and Development Program of China(2020YFC0832804) (2020YFC0832804)

农业环境科学学报

OA北大核心CSCDCSTPCD

1672-2043

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