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基于图像分析技术的烤烟叶片含氮量诊断模型
引用本文:马献发,焦玉生,张继舟,曹宏杰. 基于图像分析技术的烤烟叶片含氮量诊断模型[J]. 黑龙江农业科学, 2011, 0(11): 23-25
作者姓名:马献发  焦玉生  张继舟  曹宏杰
作者单位:1. 黑龙江省科学院自然与生态研究所,黑龙江哈尔滨,150040
2. 牡丹江烟草科学研究所,黑龙江牡丹江,140035
基金项目:黑龙江省科学院青年创新基金资助项目(CX08Ex)
摘    要:为了给叶片颜色特征参数与全氮的预测模型研究提供理论依据,利用图像处理技术提取生长关键期烟叶的颜色特征参数RGB,同时测定叶片全氮,采用线性拟合和多元回归分析方法,建立了烤烟旺长期叶片全氮含量估算模型,并对其精度进行了评价和验证。结果表明:RGB颜色系统的G、B可以作为叶片全氮含量估算的主要颜色特征参数,全氮含量的预测值与实测值的决定系数为R2=0.649(P〈0.01);直线斜率为1.022 9,接近1,模型精度高,预测可靠。进而为烟株氮素快速诊断提供理论基础。

关 键 词:烤烟  叶片  RGB  含氮量  诊断模型

Diagnostic Model of Nitrogen Content in Tobacco Leaf by Image Analysis
MA Xian-fa,JIAO Yu-sheng,ZHANG Ji-zhou,CAO Hong-jie. Diagnostic Model of Nitrogen Content in Tobacco Leaf by Image Analysis[J]. Heilongjiang Agricultural Science, 2011, 0(11): 23-25
Authors:MA Xian-fa  JIAO Yu-sheng  ZHANG Ji-zhou  CAO Hong-jie
Affiliation:MA Xian-fa1,JIAO Yu-sheng2,ZHANG Ji-zhou1,CAO Hong-jie1(1.Natural Resources and Ecology Institute of Heilongjiang Academy of Sciences,Harbin,Heilongjiang 150040,2.Mudanjiang Institute of Tobacco Science,Mudanjiang,Heilongjiang 157011)
Abstract:In order to provide theory basis for the research of leaf color characteristic parameters and total nitrogen forecasting model,using image processing technique to extract parameters(RGB)of the leaf color in the key growth period,simultaneous determination of leaf nitrogen,a tobacco leaf nitrogen content estimation model was set up by linear regression and multiple regression analysis method,and the accuracy was evaluated and validated.The results showed that G and B of RGB color system could be used as the ...
Keywords:tobacco  leaves  RGB  content of nitrogen  diagnostic model  
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