DocumentCode
2895923
Title
The Research of Precision Irrigation Decision Support System Based on Genetic Algorithm
Author
Liu, Yang ; Ren, Zhen-hui ; Li, Dong-ming ; Tian, Xin-ke ; Lu, Zhong-nan
Author_Institution
Postgraduate of Coll. of Mech. & Electr. Eng., Agric. Univ. of Hebei, Baoding
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
3123
Lastpage
3127
Abstract
Considering the actual state of management in irrigated areas of our country, it is necessary to develop precision irrigation decision support system (DSS) of intelligence, which should be simple, convenient and easy to spread. This system adopts the optimization pattern based on genetic algorithm (GA) with two steps. The first step is to achieve the optimization of water allocation of the unitary crop in different growing periods. The second step is to achieve the optimization of water allocation of many kinds of crops. Moreover, combined with the expert system, it averts the limitations of genetic algorithm (GA) effectively when used to solve the problem of partial searching. This system adopts Maplnfo as the human-computer interface, which makes the decision visible and the system operational. In running structure, this decision support system (DSS) consists of five modules: the data acquisition module, the information management module, the simulate module of crop water allocation, the optimize module with genetic algorithm (GA) and the display module of irrigated areas information. The research, development, popularization, application of this system will supply scientific management and optimize allocation for our country´s northern areas lack of water
Keywords
crops; decision support systems; genetic algorithms; human computer interaction; irrigation; water resources; crop water allocation; data acquisition module; decision support system; genetic algorithm; human-computer interface; information management module; precision irrigation process; supply scientific management; Crops; Data acquisition; Decision support systems; Displays; Expert systems; Genetic algorithms; Information management; Intelligent systems; Irrigation; Research and development management; Decision Support System (DSS); Expert System (ES); Genetic Algorithm (GA); Geographic Information System (GIS); Optimization of Irrigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258403
Filename
4028602
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