Regression Analysis and Indoor Air Temperature Model of Greenhouse in Northern Dry and Cold Regions

Abstract : The indoor air temperature of greenhouse is an important parameter in environmental monitoring. Existing research on it has many, and the mathematical models have been made. But the obtained models do not apply to the northern areas features of dry and cold. On the basis of previous studies, the indoor air temperature model of greenhouse will be re-modeling by using the regression analysis method in this paper. Analysis each convection heat transfer coefficient of the model and re-established them. In the case of known the outdoor weather conditions, the solution of the indoor temperature will be implemented by using the computer programming. And the data of a period is selected randomly from the observational data to validate the model is feasible and applied.
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Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.252-258, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_30〉
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Ting Zhao, Heru Xue. Regression Analysis and Indoor Air Temperature Model of Greenhouse in Northern Dry and Cold Regions. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.252-258, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_30〉. 〈hal-01562797〉

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