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International Federation for info Processing
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Extra resources for Computer and Computing Technologies in Agriculture II, Volume 1: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing, China
The model calibration adopted simulation results of 2005 and which of the other two years were used for validation. Model calibration was made through comparing the field-observed and model-simulated results at five stages: (i) dates of anthesis and maturity; (ii) values of LAI; (iii) biomass yields of anthesis and maturity; (iv) dry matter of leaf, stem, and grain; (v) final wheat yield. This study revealed that CERES-Wheat model can be used for the prediction of wheat growth and yield in Beijing.
REFERENCES Blackmore, B. S. and T. Steinhauser. 1993. Intelligent sensing and self-organizing fuzzy logic techniques used in agricultural automation. ASAE paper No. 931048, Summer meeting. Cho, J. N. 2002. Development of the order picking strategy algorithm for WMS in SCM environment. Masters degree thesis of University of Incheon. (In Korean) Cho, S. I. and N. H. Ki. 1995. Backward control simulation of tractor-trailer using fuzzy logic and genetic algorithms. Journal of Biosystems Engineering 20(1):87-94.
This study used a model for data envelopment analysis (DEA) to evaluate the efficiency of irrigation-fertilization schemes for winter wheat in North China. The field experiments were conducted at the Xiaohe Irrigation Experiment Station in Central Shanxi Province, China. Sixteen irrigation-fertilization schemes, the combinations of four levels of irrigation (irrigation volume from 0 to 300 mm) and four levels of fertilizer (0, low, moderate and high), were considered in the experiments. Experimental results revealed that irrigation and fertilization have significant impact on wheat yield and water use efficiency (WUE).