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Université de l’agriculture de Chine (2005)

Decision Support System for Revegetation of Sand-sources in the Northern Agriculture and Animal Husbandry Interlocked Area

陈英义;

Titre : Decision Support System for Revegetation of Sand-sources in the Northern Agriculture and Animal Husbandry Interlocked Area

Auteur : 陈英义;

Grade : Master’s Theses 2005

Université : Université de l’agriculture de Chine

Résumé
Based on the analysis of the theoretical framework of revegetation, user needs, and the collection of the plenty of successful revegetation cases, the revegetation potentiality evaluation model, the plant speicies selection model and planting methods selection model. Using ASP.net a decision support system which integrates with the models maitioned above puts forword for the sand-sources in the northern agriculture and animal husbandry interlocked area. The main works of this research are as follows :(1) Based on the analysis of the fuzzy integrated evaluation, A revegetation potentiality model was integrated and used to evaluate the revegetation potentiality of the sand sources.(2)Based on the analysis of euclidean distance and gray relating priority analysis algorithms, and the plant speicies selection model was integrated in the DSS. This model could select the-proper plant speicies for revegetation, by considering the similarity of the climate and soil.(3)The clastic production rule was selected to express the knowledge on revegetation of abandoned wastes, and the rule-based reasoning was used to build plant methods for abandoned land selection model identify the prepare works, planting, plant management and other protection methods on the sand-sources based on the analysis of soil, climate, plant behaviours and revegetation grade and so on..The prototype system was used in Hun Shan Da Ke sand-sources in the northern agriculture and animal husbandry interlocked area, which was proved to be useful for the local enterprises

Mots clés : Revegetation; Agriculture and animal husbandry interlocked area; Decision Support System;

Présentation (CNKI)

Page publiée le 5 novembre 2017