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作 者:黎瑞君[1] 陈智虎 舒田[1] 刘春艳 许元红 孙长青[1] LI Rui-jun;CHEN Zhi-hu;SHU Tian;LIU Chun-yan;XU Yuan-hong;SUN Chang-qing(Guizhou Agricultural Sciences and Technology Information Institute,Guiyang 550006,China)
出 处:《湖北农业科学》2023年第4期180-185,共6页Hubei Agricultural Sciences
基 金:贵州省科技计划项目(黔科合支撑[2021]一般211);贵州省科学技术基金项目(黔科合基础-zk(2021)一般130号)。
摘 要:以贵州省惠水县好花红镇弄苑村佛手瓜(Sechium edule)为研究对象,通过获取佛手瓜种植基地无人机多光谱影像,计算植被指数,分析不同植被指数与SPAD值的相关性,筛选出模型的输入变量,利用偏最小二乘法(PLS)和随机森林法(RF)构建SPAD估算模型,对佛手瓜绿色和黄色叶片进行SPAD值估算。结果表明,除CIre外,NDVI、GNDVI、RVI与SPAD值具有较强的相关性;在绿色叶片和黄色叶片PLS估算模型中,验证集R2分别为0.814、0.660,RMSE分别为1.12、1.16,绿色叶片SPAD值估算效果高于黄色叶片;在RF模型中,验证集和建模集R2均低于PLS模型。因此,基于多光谱影像,利用PLS建立的佛手瓜叶片SPAD估算模型效果优于RF模型,可以实现佛手瓜叶片SPAD值快速估算。Taking the bergamot in Nongyuan Village,Haohuahong Town,Huishui County,Guizhou Province as the research object,through acquiring the multi spectral images of the unmanned aerial vehicle(UAV)in the bergamot planting base,the vegetation index were calculated,the correlation between different vegetation indexes and SPAD values were analyzed,and the input variables of the model was screened out.Using partial least squares(PLS)and random forest(RF)to build SPAD estimation models,the SPAD values of green and yellow leaves of bergamot were estimated.The results showed that,besides CIre,NDVI,GNDVI,RVI and SPAD values had a strong correlation.In the PLS estimation model of green leaves and yellow leaves,the validation set R2 were 0.814 and 0.660 re⁃spectively,and the RMSE were 1.12 and 1.16 respectively.The SPAD value estimation effect of green leaves was higher than that of yellow leaves.In RF model,R2 of validation set and model building was lower than that of PLS model.Therefore,based on multispec⁃tral images,the SPAD estimation model of bergamot leaves established by PLS method was better than the RF model,which could re⁃alize the rapid estimation of SPAD values of bergamot leaves.
关 键 词:佛手瓜(Sechium edule)叶片 无人机 多光谱 SPAD
分 类 号:S127[农业科学—农业基础科学] S642.9
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