Fish disease diagnosis is a complicated process and requires high level of expertise. Any attempt of developing a web-based system dealing with disease diagnosis has to overcome various difficulties. This paper describes a Chinese National Funded Research Project (863 project) aiming to develop a web-based intelligent diagnosis system for fish diseases. The paper explains the need for a web-based expert system, the fish diagnosis process and the difficulties involved in developing the system. The system structure and its components, such as database, knowledge base and image base and their functions are described. The system has over 300 rules and 400 images and graphics for different types of diseases and symptoms. It can diagnose 126 types of diseases amongst nine species of primary freshwater fishes. The system has been tested and is now in pilot use by fish farmers in the North China region. Some issues on developing web-based expert systems from the experience gained from the research are discussed.

This paper presents a research attempt to develop and evaluate a Web-based tele-diagnosis system for fish diseases. Fish disease diagnosis is a complicated process and requires high level of expertise. A tele-diagnosis system T-VET is being developed and tested in China. T-VET is the key sub system of a Web-based expert system for fish disease diagnosis. This paper looks at why a tele-diagnosis system is needed and what are the advantages and difficulties in developing and using such a system. The system's architecture and components are described. Auser-centered approach was adopted throughout the development process to ensure the system would meet users' needs and will be accepted. As a result, the system functions were emerged and improved by users' requirements. The experience and feedback from testing and evaluating the system with potential users are discussed. Some valuable insights into the use of the Internet as a tele-diagnosis tool in aquaculture are highlighted.

智能化水产养殖业信息系统以当今世界上主流的Intranet技术（服务器、浏览器），采用先进的Clientö Serverö Server（CSS）多层体系结构。以等图象处理软件为开发工具，以Windows NT4.0 öWindows98为应用软件平台。对水产养殖、网上专家、信息咨询、渔业环保、市场商情、观赏鱼、会员注册、相关站点等8个基本模块进行了系统集成。实现了完善的专家决策支持功能、直观的专家在线功能和广泛的信息服务功能。

在文献分析的基础上，针对已有研究粮食地区间贸易调控方法的不足，把管理思想、控制原理和自组织理论与软科学的多种方法有机地结合起来，研究出了粮食地区间贸易调控的系统分析方法。该方法主要包括类变量的选择及作用关系分析、反馈效应回路的构建及耦合和系统的演化与控制。

网络化淡水虾养殖专家系统利用人工智能与计算机技术，把养殖淡水虾的研究成果和专家长年的养殖经验进行了系统集成。从系统的功能模块、知识表示、推理机、数据库等方面进行了论述，实现了网络化淡水虾养殖专家系统。