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ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS, Volume 41 , Issue 6 : 1227-1234(2019) https://doi.org/10.13836/j.jjau.2019143

Evaluation of Accuracy of Bootstrap-PLSR Model based on Vis-NIR Spectra in Predicting Soil Organic Matter

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  • ReceivedMay 29, 2019

Abstract

Soil organic matter (SOM) is an essential soil fertility indictor of paddy soil in the middle-lower Yangtze plain.Rapid,non-destructive and accurate determination of SOM is vital to preventing soil degradation caused by inappropriate land management practice.Visible-near infrared (vis-NIR) spectroscopy with PLSR can be used to effectively estimate soil properties.In this study,523 soil samples were collected from paddy fields in the provinces of Zhejiang,Jiangxi and Hunan,China.Partial least squares regression (PLSR) and PLSR combined with Bootstrap sampling were used to compare the prediction accuracy of SOM based on vis–NIR full bands.The coefficient of determination (R 2),root mean square error (RMSE),and ratio of performance to inter-quartile distance (RPIQ) were used to assess the prediction accuracy.The generalization ability and stability of the Bootstrap-PLSR model were analyzed by using the distribution of the 95% confidence interval of the predicted value and the measured value,the difference in the coefficients between the PLSR and the Bootstrap-PLSR could produce higher accuracy (R 2=0.76,RMSE=5.82,RPIQ=2.51) compared with that of PLSR (R 2=0.72,RMSE=6.27,RPIQ=2.33).The performance of the PLSR and Bootstrap-PLSR in SOM prediction did not differ significantly in the range of higher and lower values but a slight increase could be found in the middle SOM value.The Bootstrap-PLSR could provide the uncertainty of the models and their predictions.Therefore,PLSR coupled with Bootstrap sampling is recommended for prediction of SOM in the middle-lower Yangtze plain.


Funded by

国家自然科学基金项目(41361049)

江西省教育厅科学技术研究项目(GJJ181150)

the National Nature Science Foundation(41361049)

the Science and Technology Research Project of Jiangxi Provincial Department of Education(GJJ181150)


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