Determining the Dominant Environmental Parameters for Greenhouse Tomato Seedling Growth Modeling Using Canonical Correlation Analysis
文献类型： 会议论文
第一作者： Q. Qiu
作者： Q. Qiu 1 ; K. Shi 2 ; X. J. Qiao 1 ; K. Jiang 1 ;
作者机构： 1.Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences
2.Department of Horticulture, Huajiachi Campus, Zhejing University
关键词： Canonical correlation analysis;Growth modeling;Greenhouse;Tomato;Dominant environmental parameters
会议名称： IFAC Conference on Sensing, Control and Automation Technologies for Agriculture
主办单位：
页码： 387-391
摘要： This paper tries to determining the dominant environmental parameters for greenhouse tomato seedling growth modeling with canonical correlation analysis (CCA). Although a lot of literatures about crop models have been published, the powerful model for controlling or adjusting the crop growth process in greenhouse is still an open question. In this paper, we use CCA to determining the dominant environmental parameters so that an environmental-parameter-based tomato seedling growth prediction model can be build. To find the dominant environmental parameters, a set of greenhouse tomato environmental-growth parameters will be analyzed with CCA. The canonical correlation coefficients (CCC), the explanation proportion for CCC, and the significance testing values will be calculated firstly. Then CCA will be launched based on the key values. Data analysis results show that CCA can help to interpret the relationship between the environmental parameter set and the growth parameter set. And dominant environmental parameters could be determined based on CCA analysis outputs.
分类号： TP2-53
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