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Determining the Dominant Environmental Parameters for Greenhouse Tomato Seedling Growth Modeling Using Canonical Correlation Analysis

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文献类型：外文期刊

作者： Qiu, Q. ¹ ; Shi, K. ² ; Qiao, X. J. ¹ ; Jiang, K. ¹ ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

2.Zhejing Univ, Dept Hort, Huajlachi Campus, Hangzhou 310029, Zhejiang, Peoples R China

关键词： Canonical correlation analysis;growth modeling;greenhouse;tomato;dominant environmental parameters

期刊名称：IFAC PAPERSONLINE

ISSN： 2405-8963

年卷期： 2016 年 49 卷 16 期

页码：

收录情况： SCI

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.

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Determining the Dominant Environmental Parameters for Greenhouse Tomato Seedling Growth Modeling Using Canonical Correlation Analysis

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Determining the Dominant Environmental Parameters for Greenhouse Tomato Seedling Growth Modeling Using Canonical Correlation Analysis

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