The Prediction of Rice Leaf’s Nitrogen Content based on Leaf Spectrum on the Heading Stage
会议名称：《第二十九届中国控制会议》
会议日期：2010年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 09[农学] 0901[农学-作物学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by “863” Project(2008AA10Z204)
关 键 词：Paddy Rice Leaf Spectrum Nitrogen Content Heading Stage
摘 要：The change of crops’nitrogen content can cause the surface of crop leaf and the physiological characteristics of the internal organization to change,thus can cause the spectrum reflection characteristic of the crop leaf to *** this paper,the amount of fertilizer was controlled,and nitrogen-containing samples of the rice cultivation experiment was conducted to study the relevant relations of the reflection spectrum of the rice leaf and the nitrogen content of the rice leaf in the earing *** network and LM neural network,Bayesian neural network are used to set up prediction models of rice leaf’s nitrogen content,and a comparative analysis of the network training situation and the predicted results are carried *** results show that LM neural network converges faster than BP neural network,and convergence precision of Bayesian neural network is higher than BP neural network’*** terms of prediction accuracy,LM neural network is the best.