光谱学与光谱分析 |
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Study on the Calibration Transfer of Near Infrared Spectroscopy Model for Soil Organic Matter Content Prediction by Using FIR |
SONG Hai-yan, QIN Gang* |
College of Engineering, Shanxi Agricultural University, Taigu 030801,China |
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Abstract Calibration transfer of near infrared spectroscopy model is a key problem in the field of near infrared spectroscopy research. In this study, calibration transfer of near infrared spectroscopy model for soil organic matter prediction by using Finite Impulse Response (FIR) was analyzed. The specific research work and conclusions were as follows: Firstly, 59 soil samples were collected and detected by using ASD Fieldspec3 in different times. 50 soil samples called “master soil samples” were detected at the same time in 2012, and the other 9 soil samples called “target soil samples” were detected at the same time in 2013. Secondly, 41 soil samples as calibration samples were randomly selected from the “master soil samples”, and soil organic matter prediction model was built by using partial least square (PLS) analysis. The other 9 “master soil samples” were predicted. The result shows that the prediction correlation coefficient is 0.961, Root Mean Standard Error of Prediction(RMSEP) is 0.600%, and Standard Error of Prediction(SEP)is 0.597%. It indicates that it is feasible to predict “master soil samples” by using above PLS model. Then, 9 “target soil samples” were predicted by using above PLS model. The result shows that it is infeasible to predict “target soil samples” by using above PLS model. Finally,FIR was applied to realize calibration transfer. The result shows that, when the window size was 516, higher prediction accuracy was obtained. The prediction correlation coefficient is 0.706, RMSEP is 0.662%, and SEP is 0.430%. It indicates that it is feasible to realize calibration transfer by using FIR.
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Received: 2014-07-30
Accepted: 2014-11-15
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Corresponding Authors:
QIN Gang
E-mail: qingang03@126.com
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[1] LEI De-qing, HU Chang-qin, FENG Yan-chun,et al(雷德卿,胡昌勤,冯艳春,等). Acta Pharmaceutica Sinica (药学学报),2010, 45(11): 1421. [2] LIU Shan-mei, LI Xiao-yu, ZHONG Xiong-bin(刘善梅,李小昱,钟雄斌). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报),2014, 30(4):272. [3] LIN Zhen-xing, WU Bei-lei, WANG Hao,et al(林振兴,邬蓓蕾,王 豪,等). Journal of Instrumental Analysis(分析测试学报),2008, 27(12):1330. [4] CHEN Bin, WANG Hao(陈 斌,王 豪). Infrared Technology(红外技术),2006, 36(4):245. [5] WU Jun-zhao, TIAN Qing-jiu, JI Jun-feng, et al(吴昀昭,田庆久,季峻峰,等). Remote Sensing Information(遥感信息),2003, (1):40. [6] CAI Jian-hua, WANG Xian-chun, HU Wei-wen(蔡剑华,王先春,胡惟文). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报),2010, 41(9):182. [7] SONG Hai-yan, HE Yong(宋海燕,何 勇). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报),2007, 38(12):113. [8] Summers D, Lewis M, Ostendorf B, et al. Ecological Indicators, 2011, 11: 123. [9] Morgan C L S, Waiser T H, Brown D J, et al. Geoderma,2009,151:249. [10] Vasques G M, Grunwald S, Harris W G. USA. J. Environ. Qual.,2010,39(3):923. [11] YAN Yan-lu, ZHAO Long-Lian, HAN Dong-hai, et al(严衍禄, 赵龙莲, 韩东海,等). The Foundation and Application of the Near Infrared Spectroscopy Analysis(近红外光谱分析基础与应用). Beijing:China Light Industry Press(北京:中国轻工业出版社),2005.
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