作物形态诊断人工神经网络专家系统的研究  

Study on Artifical Neural Network Expert System for Crop Morphological Diagnosis

作　　者：陈立平[1] 赵春江[1] 郭新宇[1] 杜小鸿[1] 李鸿祥 

机构地区：[1]北京农业信息技术研究中心,北京100089

出　　处：《华北农学报》2002年第4期135-139,共5页Acta Agriculturae Boreali-Sinica

基　　金：国家自然科学基金资助项目(39700087)

摘　　要：本文使用计算机图像识别系统对作物形态进行自动提取,并设计了一种用于形态诊断的人工神经网络专家系统,它较好地解决了传统专家系统所面临的知识获取和表达、系统扩充困难等问题。达到计算机对作物形态性状信息自动提取和智能诊断之目的,为实现作物因苗管理、分类指导、提高科学管理水平提供技术支持。With the crop features extracted by the computer system for image processing,a kind of artificial neural network expert system has been developed to judge the plant health.Tests show that the system can extract features and make judgement automatically,and resolve problems existing in the traditional expert system,such as difficulties in acquiring and representing knowledge as well as expanding the system.

关 键 词：作物 形态诊断 人工神经网络 专家系统 图像识别 

分 类 号：S126[农业科学—农业基础科学]