江苏农业学报2025，Vol.41Issue(2)：305-312,8.DOI:10.3969/j.issn.1000-4440.2025.02.011
基于无人机多光谱遥感的水稻二化螟冬前虫量测算
Estimation of the pre-winter population of Chilo suppressalis in rice field based on unmanned aerial vehicle multi-spectral remote sensing
摘要
Abstract
In order to accurately estimate the pre-winter population of Chilo suppressalis in paddy fields,based on dif-ferentiated prevention and control of C.suppressalis,this study used unmanned aerial vehicle(UAV)to obtain double-phase multi-spectral data of rice at filling stage and wax ripening stage.And combined with the field survey of pre-winter population in the stable period of insect population,based on linear regression,support vector machine regression,random forest regres-sion,ridge regression,Lasso regression and Bayesian regression,the remote sensing estimation model of pre-winter population of C.suppressalis in paddy fields was constructed.The results showed that the spectral reflectance of 450 nm(b1)and 660 nm(b3)bands at the filling stage and the normalized difference vegetation index(NDVI)at the ripening stage were in extremely significantly linear correlation with the pre-winter population of C.suppressalis in paddy fields.Under different regression methods,the correlations between the estimated value and the observed value of the remote sensing estima-tion model of the pre-winter population of C.suppressalis in rice fields established by using double-phase data were bet-ter than those of the single-phase data.Among them,the estimation method based on double-phase remote sensing data and random forest regression model was the best.The correlation coefficients between the estimated and observed popula-tion of C.suppressalis in the test set and the training set were 0.85 and 0.94,respectively,and the estimation results of the pre-winter population of C.suppressalis in rice fields under this method were more in line with the actual situation in the fields.Based on UAV technology,this study established an estimation method for the pre-winter population of C.suppressalis in paddy fields,which provided a basis for accurate prevention and control of C.suppressalis in paddy fields.关键词
二化螟/冬前虫量/多光谱/随机森林/双时相Key words
Chilo suppressalis/pre-winter population of insects/multispectral/random forest/double phases分类
农业科技引用本文复制引用
曹梦娇,白石,唐攀攀,徐红星,王晔青,周国鑫..基于无人机多光谱遥感的水稻二化螟冬前虫量测算[J].江苏农业学报,2025,41(2):305-312,8.基金项目
浙江省重点研发计划项目(2022C02034) （2022C02034）
浙江省粮油产业技术项目 （）
浙江省农业重大技术协同推广计划项目(2023ZDXT01-5) （2023ZDXT01-5）
