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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。
This paper uses computer image recognition system to automatically extract crop morphology, and designs an artificial neural network expert system for morphological diagnosis. It solves the problems of traditional expert systems such as acquisition and expression of knowledge, difficulty of system expansion, etc. problem. Achieve computer automatic crop morphological information extraction and intelligent diagnosis purposes, in order to achieve crops due to seedling management, classification guidance, improve the scientific management level to provide technical support.