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基于作物生长监测诊断仪的玉米南方锈病监测模型

贺佳 郭燕 王来刚 张彦 位盼盼 曾凯

江苏农业学报2025,Vol.41Issue(8):1553-1558,6.
江苏农业学报2025,Vol.41Issue(8):1553-1558,6.DOI:10.3969/j.issn.1000-4440.2025.08.011

基于作物生长监测诊断仪的玉米南方锈病监测模型

Monitoring model for southern corn rust based on crop growth monitoring and diagnosis 402(CGMD402)

贺佳 1郭燕 1王来刚 1张彦 1位盼盼 1曾凯1

作者信息

  • 1. 河南省农业科学院农业信息技术研究所/农业农村部黄淮海智慧农业技术重点实验室/河南省农作物种植监测与预警工程研究中心,河南 郑州 450002
  • 折叠

摘要

Abstract

Regarding the occurrence of southern corn rust(SCR),this study conducted field disease investigation experiments over two consecutive years.Utilizing the crop growth monitoring and diagnosis 402(CGMD402)and the analyti-cal spectral devices FieldSpec FR-2500(ASD2500)hyperspectrometer,the canopy normalized difference vegetation index(NDVI)and ratio vegetation index(RVI)of corn were acquired.By analyzing the quantitative relationship between spec-tral indices and the disease index of southern corn rust(DISCR),monitoring models for DISCR were established using NDVI and RVI collected by the CGMD402.The accu-racy of these models was validated and evaluated against the field-measured disease index.The results indicated that the coefficients of determination(R2)for NDVI and RVI obtained by the two sensors were 0.965 and 0.960,respectively,demonstrating a high consistency between the canopy spectral indices acquired by the two devices.The coefficients of determination(R2)for the DISCR monitoring models established based on NDVI and RVI collected by the CGMD402 were 0.824 and 0.778,respectively,with standard errors(SE)of 0.047 and 0.051.The validation of the predicted values from the southern corn rust monitoring models(based on NDVI and RVI collected by the CGMD402)against field-measured DISCR values showed that the R2 values between them were 0.978 and 0.975,the root mean square errors(RMSE)were 0.267 and 0.301,and the relative errors(RE)were 7.387%and 9.734%,respectively.These results demonstrated that the CGMD402-based monitoring models for southern corn rust can effectively track the field-measured DISCR.Compared to portable field spectrometers,the CGMD402 demon-strates a superior capability in acquiring crop disease information,offering considerable accuracy and practical value for field-based disease monitoring.

关键词

作物生长监测诊断仪/玉米南方锈病/病害监测模型

Key words

crop growth monitoring and diagnosis apparatus/southern corn rust/disease monitoring model

分类

农业科技

引用本文复制引用

贺佳,郭燕,王来刚,张彦,位盼盼,曾凯..基于作物生长监测诊断仪的玉米南方锈病监测模型[J].江苏农业学报,2025,41(8):1553-1558,6.

基金项目

国家重点研发计划项目(2022YFD2001105) (2022YFD2001105)

河南省重点研发与推广专项(232102110027、251111112500) (232102110027、251111112500)

河南省农业科学院自主创新项目(2024ZC071、2025ZC81) (2024ZC071、2025ZC81)

江苏农业学报

OA北大核心

1000-4440

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