黑龙江农业科学Issue(11)：23-25,3.
基于图像分析技术的烤烟叶片含氮量诊断模型
Diagnostic Model of Nitrogen Content in Tobacco Leaf by Image Analysis
摘要
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 main color feature parameters to estimate leaf total nitrogen content.Total nitrogen content of the simulation and observed values were highly significant positive correlation,the determination coefficient reached 0.649,which would provide a theoretical basis for tobacco nitrogen rapidly diagnosing.关键词
烤烟/叶片/RGB/含氮量/诊断模型Key words
tobacco/leaves/RGB/content of nitrogen/diagnostic model分类
农业科技引用本文复制引用
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,(11):23-25,3.基金项目
黑龙江省科学院青年创新基金资助项目 （）
