会议专题

Current Situation and Prospect of Grassland Management Decision Support Systems in China

China, with wide grassland areas of the second rank throughout the world, is faced with a severe challenge on how to manage its vast and degenerating/degenerated grassland. Computer and network technologies are more and more widely applied in grassland production, research and education, which is just a greatly encouraging field. Tremendous achievements have been made in grassland management decision support system (GMDSS) research in developed countries at present, but there is still a long way to obtain a great development for developing countries, such as China. This paper reviewed the research progress and current situation in the GMDSS research and application in China. Concept models and empirical models are still hugely focused on the corresponding research fields in China, but the integrated GMDSS has not been well developed. Therefore, Chinese scientists must develop the integrated models from the existing models, and accordingly sinicize the GMDSS of models used in the developed conutries for availably application.In the other hand,there is a same direction of research and development about the GMDSS not only for developed countries but also for China,which is going to be combined with intemet,3S(GIS,RS and GPS) and virtual technology.

Qingwei Duan Xiaoping Xin Guixia Yang Baorui Chen Hongbin Zhang Yuchun Yan Xu Wang Baohui Zhang Gang Li

Hulunber GrassLand Ecosystem Observation and Research Station, Beijing 100081, P.R. China Key Laboratory of Resource Remote Sensing and Digital Agriculture,Ministry of Agriculture, Beijing 100081, P.R. China Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China

国际会议

The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

南昌

英文

134-146

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)