引言农业专家系统与模拟模型是本世纪兴起的新信息技术。早在50年代,人们就尝试应用数学模型研究农业问题,辅助农业决策。数十年来,农业模型已逐渐成为一种准常规农业决策工具。我国在70年代后期,伴随着系统工程概念和方法向农业渗透,无论宏观还是微观农业模型研究,均取得显著进展。八十年代我国兴起的作物模式化栽培试验研究,其主要技术支柱就是模型。模拟模型属于系统工程方法。通过在计算机上对模型求解或运行(即动态模拟),可以详细地了解模型系统特性,达到认识模拟对象一真实系统的目的。为了方便建模,在技术市场上出现了各种计算机模拟语言,在农业领域较为流行的有 CSMP 和DYNAMO 等。模拟模型中使用的数值变量可概括为状态变量、速率变量、驱动变量 Introduction Agricultural expert systems and simulation models are emerging new information technologies of this century. As early as the 1950s, people tried to use mathematical models to study agricultural issues and assist agricultural decision-making. For decades, agricultural models have gradually become a quasi-routine agricultural decision-making tool. In the late 1970s, with the concept and method of systematic engineering infiltrating into agriculture in our country, significant progress was made both in macro and micro agricultural models. Eighty time the rise of our country model crop cultivation research, the main technical pillar is the model. The simulation model belongs to the system engineering method. By solving or running a model on a computer (ie, dynamic simulation), the characteristics of the model system can be understood in detail so as to achieve a real understanding of the simulated object. In order to facilitate modeling, a variety of computer simulation languages ​​have appeared in the technology market, and CSMP and DYNAMO are more popular in the field of agriculture. The numerical variables used in the simulation model can be summarized as state variables, rate variables, drive variables