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

DOI

10.2991/iccsee.2013.534How to use a DOI?

Keywords

ontology,neural expert system, growth management, decision 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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuan Li
AU  - Wenqing Zhang
AU  - Hua Liu
AU  - Huiqin Yang
AU  - Xuning Liu
PY  - 2013/03
DA  - 2013/03
TI  - Research of Modern Information Technology on Tree Growth Management Decision Making Model
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2122
EP  - 2125
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.534
DO  - 10.2991/iccsee.2013.534
ID  - Li2013/03
ER  -