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当前位置: 首页 > 文章 > 基于反射光谱探测与二维分析的玉米叶片叶绿素诊断 农业机械学报 2016,47 (1) 413-418
Position: Home > Articles > Chlorophyll Content Diagnosis of Corn Leaves Based on Reflection Spectrum Detection and Two-dimensional Analysis Transactions of the Chinese Society for Agricultural Machinery 2016,47 (1) 413-418

基于反射光谱探测与二维分析的玉米叶片叶绿素诊断

作  者：
程萌;陈香;毛博慧;孙红;李民赞;杨玮
单  位：
中国农业大学现代精细农业系统集成研究教育部重点实验室
关键词：
反射率;二维相关光谱;叶绿素;玉米冠层
摘  要：
设计了一套基于微小型光谱学传感器的轻量级作物冠层反射光谱探测系统,系统硬件主要由光学传感器、数据存储传输模块、控制器组成,软件包含采集参数设置、采集控制、数据管理3个模块。经系统标定,系统与标准仪器ASD的数据相关性平均达到0.94以上。分析了玉米冠层反射率随叶片叶绿素含量和含水率变化而变化的趋势,针对叶片叶绿素含量分别进行了一维和二维相关光谱分析。基于548、594、652 nm一阶微分光谱建立了叶片叶绿素含量MLR模型,建模决定系数为0.43,验证决定系数为0.36。结合二维相关光谱分析,讨论了玉米叶片叶绿素含量与水分光谱的响应关系,修正敏感波长为480、594、652、819 nm,建立了大田夏玉米的叶片叶绿素含量诊断优化模型,建模决定系数和验证决定系数分别为0.47和0.34。
译  名：
Chlorophyll Content Diagnosis of Corn Leaves Based on Reflection Spectrum Detection and Two-dimensional Analysis
作  者：
Cheng Meng;Chen Xiang;Mao Bohui;Sun Hong;Li Minzan;Yang Wei;Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology,Ministry of Agriculture;
关键词：
reflectance;;two-dimensional correlation spectrum;;chlorophyll;;corn canopy
摘  要：
Crop spectrum characteristic analysis plays an important role in growth condition monitoring and nutrition diagnosis for precision management. It is also the theoretical basis of remote sensing data analysis. In order to predict the nutrient content of crop non-destructively and quickly,a spectrum detection system for summer corn was developed to measure the reflectance of 350 ~ 820 nm. The system had three parts,i.e.,optical sensor,data storage and transmission module and controller. And spectral information collection software included three modules,i.e.,acquisition parameters,acquisition control and data management. Calibration experiment was carried out to test the performance of spectrum analyzing system. The correlation with ASD Field Spec Hand Held 2 was analyzed. The result showed that the average determination coefficient was 0. 94. It was used to detect the chlorophyll and moisture contents of corn leaves. The relationships were analyzed based on the one- and two-dimensional correlations,respectively.Firstly,the chlorophyll content detecting model was established based on first-order differential and K-value clustering method by using 548 nm,594 nm and 652 nm with determination coefficients of 0. 43 and 0. 36.Then,the response relationships between moisture content and chlorophyll content in corn leaves were discussed and the model was revised by wavelengths at 480 nm,594 nm,652 nm and 819 nm. The revised chlorophyll content detecting model was established with determination coefficients of 0. 47 and 0. 34.

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