Research of Modern Information Technology on Tree Growth Management Decision Making Model

Abstract:

Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2418-2421
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2418
• Online since: August 2013
• Authors: Yuan Li, Wen Qing Zhang, Hua Liu, Hui Qin Yang, Xu Ning Liu
• Keywords: Decision Model, Growth Management, Neural Expert System, Ontology

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