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.
关键词:
人工神经网络,
专家系统,
形态诊断,
图像识别
Abstract: 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 automat ically, and resolve problems existing in the traditional expert system, such as difficulties in acquiring and representing know ledge as well as expanding the system.
Key words:
Artificial neural network,
Expert system,
Morphological diagnosis,
Image processing
中图分类号:
陈立平, 赵春江, 郭新宇, 杜小鸿, 李鸿祥. 作物形态诊断人工神经网络专家系统的研究[J]. 华北农学报, 2002, 17(4): 135-139. doi: 10.3321/j.issn:1000-7091.2002.04.029.
CHEN Li-ping, ZHAO Chun-jiang, GUO Xin-yu, DU Xiao-hong, LI Hong-xiang. Study on Artifical Neural Network Expert System for Crop Morphological Diagnosis[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2002, 17(4): 135-139. doi: 10.3321/j.issn:1000-7091.2002.04.029.