基于对农业资源高效利用的概念和特点的认识并考虑资料的来源和计算的可行性，建立了农业资源综合利用效率的评价指标体系，提出了农业资源综合利用效率的评价方法，以河北省栾城县为例进行分析计算，得出了初步结论，

基于对不同类型区农业资源高效利用模式优化与技术体系集成及专家系统的内涵和特点的认识，针对我国农业资源高效利用与规划管理的实质，探讨了农业资源高效利用模式优化与技术体系集成辅助专家系统（ARA ES）的设计。在剖析了ARA ES的总体目标和具体任务的基础上，从人员组成，硬件ˆ软件系统、数据库、知识库、方法库、模型库等方面，阐述了系统的组成；从系统基本功能和应用功能方面。论述了ARA ES的系统功能设计。从目前系统设计中存在的问题与困难等方面，分析了ARA ES系统实现的可行性、艰巨性及其途径。

设计了一个网络化农业机械化发展决策支持系统软件。以Intranet为核心技术，采用先进的Client Server Server （CSS）多层体系结构。以Visual InterDev，Dhtm l，MSDN，IESDK，VB Script，SQL Server 7.0，Active Server Pages动态服务器网页。以及Photoshop 6.0图像处理等软件为开发工具，以Windows NT4.0 Windows2000为服务器应用软件平台，对农业机械化水平评价、关键因素分析、发展阶段评判、水平区域分类等4个基本模块进行了系统集成。

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.