Title :
Research on Growth Model of Poplar Based on Modern Information Technology
Author :
Xuning, Liu ; Hongqiang, Hu ; Pengfei, Wu ; Wei, Shi ; Genshan, Zhang
Author_Institution :
Dept. of Comput., Shijiazhuang Univ., Shijiazhuang, China
Abstract :
The poplar is shelterbelt species, because the poplar has the characters that are fast growth, adaptability, easy breeding, make protective and economic benefits etc, which has been widely used in the production and building. In order to improve the growth quality and the level of growth management of poplar, the paper applied modern information technologies such as neural network, expert system and computer visualization to construct growth model of poplar, and made full use of modern information technology to achieve the model construction and the prediction. The practice has proved that the technology can predict growth conditions of poplar at different stages and provide management decisions for the growth management of poplar, therefore greatly improving the growth efficiency of poplar.
Keywords :
agricultural engineering; crops; data visualisation; expert systems; neural nets; computer visualization; expert system; information technology; neural network; poplar growth efficiency improvement; popular growth management level improvement; popular growth quality improvement; shelterbelt species; Agriculture; Biological system modeling; Computational modeling; Data models; Expert systems; Predictive models; Solid modeling; growth model; information technology; poplar;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.93