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Predication of Dry Rubber Content in Hevea Latex based on SPSS Multiple Regression Model

文献类型: 外文期刊

作者: Zhang, Fan 1 ; Liao, Lusheng 1 ; Huang, Hui 1 ; Zhang, Fuquan 1 ; Wang, Bingbing 1 ; Long, Huaqian 1 ;

作者机构: 1.Chinese Acad Trop Agr Sci, Agr Prod Proc Res Inst, Minist Agr & Rural Affairs, Key Lab Trop Crop Prod Proc, Zhanjiang 524001, Guangdong, Peoples R China

期刊名称:2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRONIC MATERIALS, COMPUTERS AND MATERIALS ENGINEERING (AEMCME 2019)

ISSN: 1757-8981

年卷期: 2019 年 563 卷

页码:

收录情况: SCI

摘要: The Dry Rubber content (DRC) in hevea latex is affected by a great many of factors, including producing area, strains, tree age, cutting system, origins and so on. Each factor was discussed and evaluated to confirm the influence degree. A predication model based on SPSS multiple regression models was constructed to analyse the factors influencing the DRC, and the regression equation was used to forecast the DRC in natural rubber latex. The results show that the predication model has a good achievement and the average relative error was 7.4%

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