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Regional Assessment of Sustainable Agricultural Cropping Systems in the North China Plain - Data Requirements and Computational Approaches
被引:1
|作者:
Roth, Andreas
[1
]
Doluschitz, Reiner
[1
]
机构:
[1] Univ Hohenheim, Inst Comp Applicat & Business Management Agr, D-7000 Stuttgart, Germany
关键词:
D O I:
10.1109/ICNC.2008.414
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Cellular automata and the DSSAT crop model are used to regionalize site specific information of winter wheat and maize in the North China Plain (NCP). On the basis of the spatial explicit IRTG (1(st) Sino German International Research Training Group) geographic database AEIS (Agro-Environmental Information System) on climate, soils, crops, agricultural management and sociological data these two different modeling approaches are used to simulate the status quo. For the evaluation of reliable future scenarios simulations with both types will be performed The AEIS was initially established on 2 study sites on 2 different research scales. Based on these databases simulations of different fertilization scenarios have been conducted Results depicts that there are prospects for sustainable agricultural management as well as high production levels.
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页码:434 / 436
页数:3
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