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根据植物茎叶图像模拟根系图像的人工神经网络算法
引用本文:丛沛桐,祖元刚,于景华,赵则海,谷会岩.根据植物茎叶图像模拟根系图像的人工神经网络算法[J].生态学报,2002,22(2):163-168.
作者姓名:丛沛桐  祖元刚  于景华  赵则海  谷会岩
作者单位:东北林业大学森林植物生态学开放研究实验室,哈尔滨,150040
基金项目:国家自然科学基金“九五”重大资助项目 ( 3989336 0 ),国家林业局专项调查资助项目
摘    要:以内蒙古野生甘草产区为试验地,采用图像关联的小波-神经网络综合算法建立了甘草茎叶-根系图像联结的BP人工神经网络模型。该模型具有运算速度快,易于处理复杂图像数据的特点。通过植物茎叶图像对根系图像的模拟,实现块茎植物生物量数量化评估和农作物估产。

关 键 词:植物茎叶  图像模拟  根系图像  植物根系  生物量评估  人工神经网络
文章编号:1000-0933(2002)02-0163-06
收稿时间:2000/9/20 0:00:00
修稿时间:2001/8/27 0:00:00

Artificial Neuro-network to Simulate Root Systemimage by Botanic Leaf-stalkimage
CONG Peitong,ZU Yuangang,YU Jinghu,ZHAO Zehai and GU Huiyan.Artificial Neuro-network to Simulate Root Systemimage by Botanic Leaf-stalkimage[J].Acta Ecologica Sinica,2002,22(2):163-168.
Authors:CONG Peitong  ZU Yuangang  YU Jinghu  ZHAO Zehai and GU Huiyan
Institution:Open research laboratory of Forest ecology of Northeast forest university; China
Abstract:The patterns of botanic root system exist in an obvious correlation with the organs over the ground,such as leaves,branches,and stalks.Different species present varied features which mirror biological habits of a species being in correlation with the pattern of its own structure.Related researches have shown that root number,weight,and diameter offer a close relationship with the corresponding parts over the ground,so that it is possible to simulate the root system image with the leaf-stalk image.;In accord...
Keywords:plant roots  evaluation of biomass  image simulate  neural networks (NN)
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