DocumentCode :
1931504
Title :
Development of Growth Model-Based Decision Support System for Crop Management
Author :
Cao Weixing ; Tang Liang ; Zhu Yan ; Pan Jie ; Li Weiguo ; Chen Binling
Author_Institution :
Hi-Tech Key Lab. of Inf. Agric., Nanjing
fYear :
2006
fDate :
13-17 Nov. 2006
Firstpage :
181
Lastpage :
184
Abstract :
Growth model-based decision support system for crop management (GMDSSCM) was developed including process based models of 4 different crops, i.e. wheat, rice, rapeseed and cotton. This system aims in facilitating simulation and application of crop models for different purposes. Individual models each include six submodels for simulating phasic development, organ formation, biomass production, yield and quality formation, soil-crop water relations, and nutrient (N, P, K) balance. The implemented system can be used for evaluating individual and comprehensive management strategies based on the results of crop growth simulation under various environments and different genotypes. A Stand-alone version (GMDSSCMA) was established under the platforms VC++ and VB by adopting the characteristics of object-oriented and component-based software and with the effective integration and coupling of the growth-prediction and decision-making functions. A web-based system (GMDSSCMW) was further developed on a .net platform using C# language. These GMDSSCM systems have been used to predict dynamically crop growth and to make decisions regarding to management systems. This tool should be helpful for construction and application of informational and digital farming systems.
Keywords :
C++ language; Visual BASIC; crops; decision support systems; farming; object-oriented programming; production engineering computing; production management; C# language; VB; VC++; biomass production; component-based software; comprehensive management strategies; crop management; digital farming systems; growth model-based decision support system; individual management strategies; nutrient balance; object-oriented software; organ formation; phasic development; process based models; soil-crop water relations; web-based system; Agriculture; Cotton; Crops; Databases; Decision support systems; Laboratories; Object oriented modeling; Plants (biology); Soil; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Plant Growth Modeling and Applications, 2006. PMA '06. Second International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-2851-9
Type :
conf
DOI :
10.1109/PMA.2006.51
Filename :
4548367
Link To Document :
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