基于高光谱的柑橘叶片氮素含量多元回归分析

快捷、准确、无损地检测柑橘叶片氮（N）素含量，对柑橘树N肥施用的精准动态管理有重大现实意义。以117株园栽罗岗橙为试验研究对象，在不同生长期用ASD公司的FieldSpec3采集柑橘树健康叶片的高光谱反射值，以高光谱反射数据或其变换形式作为柑橘树样本多元矢量描述；用凯氏定氮法同期检测出柑橘树叶的真实N素含量值；在用PCA对高维光谱矢量降维的基础上，利用支持矢量回归算法（SVR）建立高光谱多元表达和N素含量间的映射关系，以实现任意柑橘树N素含量的预测分析。试验结果表明，测试集上预测值和真实值间的平方决定系数R2为0.9730，平均相对误差为0.9033%，均方误差MSE为0.090343，证明了...

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Bibliographic Details
Published in农业工程学报 Vol. 29; no. 5; pp. 132 - 138
Main Author 黄双萍 洪添胜 岳学军 吴伟斌 蔡坤 徐兴
Format Journal Article
LanguageChinese
Published 华南农业大学南方农业机械与装备关键技术省部共建教育部重点实验室,广州 510642%国家柑橘产业技术体系机械研究室,广州 510642%华南农业大学工程学院,广州 510642%南昆士兰大学工程与测绘学院,图文巴 QLD4350 2013
Subjects
N元素
SVR
回归分析
柑橘叶片
高光谱
N元素
回归分析
柑橘叶片
nitrogen
regression analysis
hyperspectral
citrus tree leaves
SVR
高光谱
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ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2013.05.018

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Summary:快捷、准确、无损地检测柑橘叶片氮（N）素含量，对柑橘树N肥施用的精准动态管理有重大现实意义。以117株园栽罗岗橙为试验研究对象，在不同生长期用ASD公司的FieldSpec3采集柑橘树健康叶片的高光谱反射值，以高光谱反射数据或其变换形式作为柑橘树样本多元矢量描述；用凯氏定氮法同期检测出柑橘树叶的真实N素含量值；在用PCA对高维光谱矢量降维的基础上，利用支持矢量回归算法（SVR）建立高光谱多元表达和N素含量间的映射关系，以实现任意柑橘树N素含量的预测分析。试验结果表明，测试集上预测值和真实值间的平方决定系数R2为0.9730，平均相对误差为0.9033%，均方误差MSE为0.090343，证明了该方法的有效性，为利用高光谱技术进行柑橘树N素含量的无损检测提供了参考。
Bibliography:nitrogen; regression analysis; hyperspectral; citrus tree leaves; SVR
11-2047/S
In order to evaluate the nitrogenous status of citrus trees, non-destructively, accurately and rapidly, the modeling of the nitrogen （N） content prediction based on the reflectance spectra is studied in this paper. Field experiments were conducted on 117 planted Luogang citrus trees in the Crab Village of Guangzhou. The citrus trees were divided into several groups and 1-year standardized management was performed on them. Nitrogenous fertilizer was applied to the citrus trees only during four phenological periods in the year, and each group was treated with various levels of N-fertilization in order to cultivate differentiation samples with varied nitrogenous content. 15 days after each fertilization, fresh and healthy citrus leaves were collected to gather training samples from different growth stages. Hyper-spectrometer ASD FieldSpec was used to detect spectral reflectance while the Kjeldahl method was used to measure the N-conten
ISSN:1002-6819
DOI:10.3969/j.issn.1002-6819.2013.05.018