Agricultural Information Network

As a modern agricultural country, our country.should mainly develop the agricultural informationization However, as an invisible resource, agricultural information has not been paid attention to for a long time. Even though, the value of the agricultural information was not admitted by the society. So that, the people lack understanding to agricultural information, can't get the information what they want to get. Because of this, the level of agricultural product is lower and the marketing channels are single.To solve these above problems, this paper firstly introduces the state about the domestic and international agricultural informationization based on artificial intelligence and mainly focus on the domestic development. We mainly realize the information collecting system, which base on the natural language understanding intelligent Web, to build agricultural expert system for predicting and analyzing the crop growth.and sale, and automatically answer the consumers'questions through automatic text segmentation and semantic analysis, to achieve the intelligent agricultural information network.This paper first chapter of the agricultural information network analysis of current research at home and abroad. Second, three chapters of expert system, mainly using natural language comprehension, artificial intelligence knowledge of agricultural information network support, established the agriculture information of experts in the field of system, if you want a more comprehensive knowledge base, then "one-stop-stop" will play a key role, this requires concerted efforts to to complete. The fourth chapter introduces the based on web information acquisition system theme "one-stop service" to analyze the simple web pages. The fifth chapter of language is Chinese automatic segmentation, language analysis, the realization of language comprehension based on natural language, constructing agricultural information consultation system limited. Now the national network information can't sharing, fragmented, and "one-stop-stop" realization compares difficulty; Web collection system of agricultural information collection is still very limited, there exist deviations of natural language understanding, this is where improve on this site.