Establishment Of Fast-growing And High-yield Forest Cultivation Expert System

In this paper,after doing some research about the present situation and development trend of the agriculture and forestry expert system at home and abroad,for the existing problems of forestation expert system,in view of forestry workers and farmers,design and establish fast-growing and fertility forestation expert system aiming to provide service for forest farm or farmers.Firstly,do some research on the theory and development technology of expert systems and relative forest cultivated knowledge,after analyzing the forest harvest forecast model and the volume table, combined with economic mature indicators of trees,establish economic benefits forecast model of fast-growing poplar on the analysis data of wood in hebei province.Second,design and build fast-growing expert system framework,analyze the content,characteristics and classification of fast growing knowledge,and compare several commonly used methods of expert system knowledge representation,then propose a combinative method which involve both productive representation and framework representation.This knowledge representative method reduce the number of rules of expert system,improve the efficiency of system implementation,and in line with the thought of experts on how to finish forestation knowledge;At last,analysis and design the reasoning process and conflict resolution strategy of fast-growing and fertility forestation expert system,meanwhile,use the economic benefits forecast model of fast-growing poplar to achieve the economic forecasting of fast growing trees displayed on Web.