现代农业科技Issue(6)：199-200,203,3.
基于相思树NIR数据理论模型的软件设计
Software Design Based on NIR Data and Theory Model of Acacia
摘要
Abstract
According to the Lambert-beer＇s law,the mathematical model of Acacia was built by NIR data,and we developed software by using Java language. This software which called V1.0 could forecast component content of wood material by using NIR data. The NIR data were pretreated and divided into groups ,and many nonlinear sub mathematical models were built using the fitting method. Each OD value had its corresponding parameter in sub models. According to these parameters and the formula,we used Java 5.0 to compile a software named V1.0. The V1.0 is easy to use,and the predicted results are high accuracy. （E.g. the coefficient of correlation between the experiment value and the predicted value is 0.935 2）.The software provides a reliable basis and workable methods for the wood pulp performance analysis,and is expected to use the chemical composition forecasts of other trees.关键词
相思树/近红外光谱/数学模型/Java语言Key words
A cacia/NIR/mathematical model/Java language分类
农业科技引用本文复制引用
王聪,张文杰,刘胜..基于相思树NIR数据理论模型的软件设计[J].现代农业科技,2012,(6):199-200,203,3.基金项目
国家科技支撑计划子课题“速生纸浆材特性数据库及浆纸性能预测模型的研究与开发”（2006BAD32803-5）. （）
