Estimation of the nitrogen concentration of rubber tree using fractional calculus augmented NIR spectra

被引:38
作者
Chen, Kai [1 ]
Li, Chuang [1 ]
Tang, Rongnian [1 ]
机构
[1] Hainan Univ, Sch Mech & Elect Engn, Haikou, Hainan, Peoples R China
基金
中国国家自然科学基金;
关键词
Rubber tree; Estimation; Nitrogen; Fractional calculus; NIR spectra; Field management; NEAR-INFRARED SPECTROSCOPY; LEAST-SQUARES REGRESSION; WHEAT NITROGEN; INDEXES; FIELD; AREA;
D O I
10.1016/j.indcrop.2017.06.069
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Natural rubber (Hevea brasikensis) is a high-valued industrial crop in tropical areas. Reasonable fertilization can improve the quality and production of the natural rubber. Hence, there is a great interest in developing an accurate and robust model to detecting the nitrogen content of rubber tree to improve the production. In this study, we propose a new method for detecting the nitrogen content using fractional calculus augmented NIR spectra. Fractional calculus is applied as a tool to extract additional information from the original spectra. Three different mathematical transforms (R, 1/R, log(R)) are utilized before the fractional order derivative analysis. After derivative analysis with different orders (0-2), the PLS regression method is utilized to develop the estimation models with the wavelengths selected by significant test of correlation coefficient at 0.01 level. The optimal prediction result R-p = 0.9245 is achieved by reciprocal spectrum with the order 0.6. Results show that fractional calculus with NIR can be utilized to build a more accurate nitrogen estimation model for rubber tree. The result presented here provides us a fast and non-destructive strategy to evaluate the nitrogen condition of rubber tree and provides a direct way to support the field management.
引用
收藏
页码:831 / 839
页数:9
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