基于便携式蜜柚光谱仪的金沙柚叶片氮含量监测模型研究  

A model for monitoring leaf nitrogen content of Jinsha pomelo based on portable pomelo spectrometer

作　　者：李艳大[1,3] 曹中盛 潘玉霞 孙滨峰 黄俊宝 杨伟光[1] 彭忻怡[1] 舒时富 叶春[1] LI Yanda;CAO Zhongsheng;PAN Yuxia;SUN Binfeng;HUANG Junbao;YANG Weiguang;PENG Xinyi;SHU Shifu;YE Chun(Institute of Agricultural Engineering,Jiangxi Academy of Agricultural Sciences/Jiangxi Province Engineering Research Center of Information Technology in Agriculture/Jiangxi Province Engineering Research Center of Intelligent Agricultural Machinery Equipment,Nanchang 330200,Jiangxi,China;Jiangxi Agricultural University,Nanchang 330045,China;Jinggangshan Institute of Red Soil,Ji’an 343016,Jiangxi,China)

机构地区：[1]江西省农业科学院农业工程研究所·江西省农业信息化工程技术研究中心·江西省智能农机装备工程研究中心,南昌330200 [2]江西农业大学,南昌330045 [3]井冈山红壤研究所,吉安343016

出　　处：《果树学报》2023年第4期797-806,共10页Journal of Fruit Science

基　　金：江西省重大科技研发专项课题(20203ABC28W014-4);江西省重点研发计划重点项目(20212BBF61013);江西省国家级高层次人才创新创业项目;国家红壤改良工程技术研究中心开放基金资助项目(2020NETRCRSI-16);江西现代农业科研协同创新专项项目(JXXTCXQN202214)。

摘　　要：【目的】旨在检验便携式蜜柚光谱仪(PPS)监测金沙柚叶片氮含量(LNC)的准确性,构建基于PPS的金沙柚LNC光谱监测模型。【方法】通过实施不同施氮量的试验,于幼果期和果实膨大期利用便携式蜜柚光谱仪(PPS)、ASD高光谱仪和RapidSCAN光谱仪测定冠层光谱反射率,计算得到归一化红边指数(NDRE)与归一化植被指数(NDVI),分析比较3种光谱仪测定的冠层植被指数变化规律与相关性,检验PPS的测定精度,构建基于PPS的金沙柚LNC光谱监测模型,采用不同试验点的数据检验模型。【结果】金沙柚LNC、NDVI和NDRE随着施氮量的增加表现为递增趋势;PPS和ASD测定的NDVI、NDRE间拟合的决定系数(R2)依次为0.9095和0.9005,PPS和RapidSCAN测定的NDVI、NDRE间拟合的R2依次为0.9543和0.9002,证明PPS的测定结果与ASD、Rapid SCAN具有很高的一致性。幼果期和果实膨大期的光谱监测模型的监测效果比生长中期好;PPS测定的NDVIPPS与NDREPPS相比,NDVIPPS与LNC之间的相关性高于NDREPPS;基于NDVIPPS的幂函数模型能准确地监测LNC,模型构建R2介于0.8210~0.8472之间,模型检验的相关系数(r)、相对均方根误差(RRMSE)和均方根误差(RMSE)依次为0.8952~0.9333、4.4%~8.1%和0.1%~0.2%。【结论】与常规化学测试LNC相比,利用PPS可实时准确获取金沙柚LNC信息,在金沙柚轻简化种植与养分无损监测诊断中具有广阔应用前景。【Objective】Jinsha pomelo is one of the high-quality honey pomelo varieties planted in Ji’an city,Jiangxi province,China.The leaf nitrogen content(LNC)of Jinsha pomelo is an important index for quantitative monitoring and diagnosis of the nitrogen nutrition status and growth characteristics.Traditional LNC measurement,which mainly relies on the laboratory chemical testing,can obtain accurate and reliable results,but the applications are time-consuming and restricted to relatively small spatial scales.The spectral monitoring technology is recognized as one of the most popular means for real-time,fast and non-destructive monitoring fruit tree growth status in orchard scale.It can provide an effective technical mean for accurately analyzing the quantitative relationship between the LNC and spectral vegetation indices.Consequently,the spectral monitoring models of the LNC were established to provide a basis for non-destructive,convenient and quantitative estimation of the LNC.The previous studies proved the application of spectral monitoring technology for estimating fruit tree growth indices based on the spectral vegetation indices.Nevertheless,which spectral vegetation indices is strongly related to the LNC of Jinsha pomelo remians unclear.The objective of this study was to test the precision of the portable pomelo spectrometer(PPS,wavelengths range 400-1100 nm,which was developed by our research group)in monitoring the LNC of Jinsha pomelo,and establish the spectral monitoring model of the LNC of Jinsha pomelo.【Methods】The orchard experiments were conducted in Jizhou district and Jishui county in Ji'an city,Jiangxi province in 2021,where eight year old Jinsha pomelo with four nitrogen fertilizer application amounts(0,0.5,1.0 and 1.5 kg·plant-1)and three replications were conducted.Three spectrometers,i.e.,PPS,ASD(wavelengths range 325-1075 nm,which is made in USA)and RapidSCAN(including 670,730 and 780 nm spectral bands,which is made in USA)were set at a height of 1 m above the top of the canopy to measu

关 键 词：金沙柚 叶片氮含量 便携式蜜柚光谱仪 光谱监测 模型 

分 类 号：S666.3[农业科学—果树学]