Influence of Data Preprocessing on the Quantitative Determination of Nutrient Content in Poultry Manure by Near Infrared Spectroscopy

文献类型： 外文期刊

第一作者： Chen, L. J.

作者： Chen, L. J.;Han, L. J.;Xing, L.

作者机构：

关键词： ammonium nitrogen: agrichemical;fertilizer;total nitrogen: agrichemical;fertilizer;total phosphorus: agrichemical;fertilizer;total potassium: agrichemical;fertilizer;poultry manure;manure nutrient content

期刊名称：JOURNAL OF ENVIRONMENTAL QUALITY （ 影响因子：2.751； 五年影响因子：3.309 ）

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年卷期：

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收录情况： SCI

摘要： With increasing concern over potential pollution from farm wastes, there is a need for rapid and robust methods that can analyze livestock manure nutrient content. The near infrared spectroscopy (NIRS) method was used to determine nutrient content in diverse poultry manure samples (n = 91). Various standard preprocessing methods (derivatives, multiplicative scatter correction, Savitsky-Golay smoothing, and standard normal variate) were applied to reduce data systemic noise. In addition, a new preprocessing method know n Calibration orthogonal signal correction 4 Calibration (DOS C) was tested. models for ammonium nitrogen, total potassium total nitrogen, and total phosphorus were developed with the partial least squares (PLS) method. The results showed that all the preprocessed data improved prediction results compared with the non-preprocessing method. Compared with the other preprocessing methods, the DOSC method gave the best results. The DOSC method achieved moderately successful prediction for ammonium nitrogen, total nitrogen, and total phosphorus. However, all preprocessing methods did not provide reliable prediction for total potassium. This indicates the DOSC method, especially combined with other preprocessing methods, needs further study to allow a more complete,predictive analysis of manure e nutrient content.

分类号： S

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