The Determination of Total N, Total P, Cu and Zn in Chicken Manure Using Near Infrared Reflectance Spectroscopy
文献类型: 会议论文
第一作者: Yiwei Dong
作者: Yiwei Dong 1 ; Yongxing Chen 2 ; Dazhou Zhu 3 ; Yuzhong Li 4 ; Chunying Xu 2 ;
作者机构: 1.Institute of Environment and Sustainable Development in Agriculture, The Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China National Research Center of Intelligent Equipment for Agriculture, Beijing, 100081, P.R. China
2.Key Laboratory of Agro-Environment & Climate Change, Ministry of Agriculture, Beijing, 100081, P.R. China
3.National Research Center of Intelligent Equipment for Agriculture, Beijing, 100081, P.R. China
4.Institute of Environment and Sustainable Development in Agriculture, The Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China
关键词: near infrared spectroscopy;chicken manure;total N;total P;Cu;Zn
会议名称: IFIP TC 12 conference on computer and computing technologies in agriculture
主办单位:
页码: 92-98
摘要: In this study, the 74 chicken manure samples from a chicken farm were used to take the diffuse reflection spectra from 12500 to 4000 cm"1 by FT-NIR spectrometer. The total N, total P, Cu and Zn of chicken manure samples were predicted by NIR spectra. For the samples of each component, an ascending order was arranged and they were divided into calibration set and prediction set according to their content. Partial least square regression (PLSR) method was applied to construct the calibration model. Results showed that the correlation coefficients of the calibration model for total N was 0.69, the root mean square error of calibration (RMSEC) was 0.66, the root mean square error of prediction (RMSEP) was 0.80. For the models of total P, Cu and Zn, the results were r=0.86, RMSEC=0.29, RMSEP=0.34; r=0.95, RMSEC=3.46, RMSEP=5.71; r=0.94, RMSEC=14.13, RMSEP=25.21, respectively. The results indicated that the NIR spectroscopy was useful to non-destructively determine the content of total N, total P, Cu and Zn of chicken manure. As a complementary detecting method to the conventional analysis, NIR spectroscopy could significantly improve the detecting efficiency.
分类号: S126
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