基于便携式蜜柚光谱仪的金沙柚叶片叶绿素含量监测模型  

Monitoring Model for Leaf Chlorophyll Content of Jinsha Pomelo Based on Portable Pomelo Spectrometer

作　　者：潘玉霞 李艳大[1] 曹中盛 孙滨峰 黄俊宝[1] 吴自明[2] 冯旭萍 郭永久 PAN Yu-xia;LI Yan-da;CAO Zhong-sheng;SUN Bin-feng;HUANG Jun-bao;WU Zi-ming;FENG Xu-ping;GUO Yong-jiu(Institute of Agricultural Engineering,Jiangxi Academy of Agricultural Sciences/Jiangxi Province Engineering Research Center of Intelligent Agricultural Machinery Equipment/Jiangxi Province Engineering Research Center of Information Technology in Agriculture,Nanchang 330200,China;College of Agronomy,Jiangxi Agricultural University,Nanchang 330045,China;College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China;Anhui Longcom Internet of Things Co.,Ltd.,Hefei 230000,China)

机构地区：[1]江西省农业科学院农业工程研究所/江西省智能农机装备工程研究中心/江西省农业信息化工程技术研究中心,江西南昌330200 [2]江西农业大学农学院,江西南昌330045 [3]浙江大学生物系统工程与食品科学学院,浙江杭州310029 [4]安徽朗坤物联网有限公司,安徽合肥230000

出　　处：《江西农业学报》2023年第5期60-66,共7页Acta Agriculturae Jiangxi

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。

摘　　要：为了验证便携式蜜柚光谱仪(PPS)监测金沙柚叶片叶绿素含量(LCC)的准确性,建立了基于PPS的金沙柚LCC监测模型。通过设置不同施氮水平的金沙柚果园试验,利用3种光谱仪(PPS、ASD FH2和RapidSCAN)采集金沙柚幼果期、果实膨大期的冠层光谱反射率,测得金沙柚LCC,并计算得到归一化植被指数(NDVI)和归一化红边指数(NDRE),分析比较了这3种光谱仪采集的冠层植被指数间的相关关系,构建了基于PPS的LCC监测模型。结果表明:金沙柚LCC随着氮肥施用量的增加而增大;PPS和ASD FH2采集的NDVI和NDRE间的r分别为0.9062~0.9460和0.9159~0.9676,PPS和RapidSCAN采集的NDVI和NDRE间的r分别为0.9867~0.9941和0.9324~0.9673,表明PPS测量精度较高,可替代ASD FH2、RapidSCAN。基于PPS的2个冠层植被指数相比,NDVI_(PPS)与LCC相关性最高,幼果期和果实膨大期的模型监测效果优于生长中期的;基于NDVI_(PPS)的多项式模型可较准确地预测LCC,模型R~2为0.7936~0.9888。采用PPS可以实时准确地获取LCC信息,克服费时耗工、时效性差等问题,在金沙柚丰产高效栽培中具有应用价值。The objective of this study is to verify the accuracy of portable pomelo spectrometer(PPS)in monitoring leaf chlorophyll content(LCC)of Jinsha pomelo,and establish the model for monitoring LCC of Jinsha pomelo.The difference in LCC was created by setting different nitrogen application rates in the orchard experiment of Jinsha pomelo.Three spectrometers(PPS,ASD FH2and RapidSCAN)were used to measure canopy spectral reflectance at young fruit stage and fruit expansion stage,respectively.The NDVI(normalized difference vegetation index)and NDRE(normalized difference red edge)were calculated by canopy spectral reflectance,and the LCC of Jinsha pomelo was synchronous measured.Canopy vegetation indexes change characteristics were compared between PPS,ASD FH2 and RapidSCAN,and their correlations were analyzed.The PPS-based monitoring models of LCC were established.The results showed that LCC of Jinsha pomelo was increased with the increase of nitrogen application rates at the young fruit stage and the fruit expansion stage.The correlation coefficient(r)of fitting for NDVI and NDRE from PPS and ASD FH2 were 0.9062~0.9460 and 0.9159~0.9676,respectively.The r of fitting for NDVI and NDRE from PPS and RapidSCAN were 0.9867~0.9941 and 0.9324~0.9673,respectively.This result indicated that the measurement accuracy of PPS was high,and the PPS could be used to replace expensive ASD FH2 and RapidSCAN.Compared with the two canopy vegetation indexes based on PPS,the correlation between NDVIPPS and LCC was the highest.The model performance for young fruit stage or fruit expanding stage was better than that for the middle growth stages.The polynomial model based on NDVIPPS could be used to accurately estimate LCC,with 0.7936~0.9888 of R2.The PPS can accurately and real-time obtain the LCC,overcome the problems of traditional testing methods,such as time-consuming and poor timeliness.It has application value in high-yield and high efficiency cultivation of Jinsha pomelo.

关 键 词：金沙柚 叶片叶绿素含量 便携式蜜柚光谱仪 冠层植被指数 监测模型 

分 类 号：S666.3[农业科学—果树学]