Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning

[1]  Ji Haibo,et al.  Near-infrared calibration transfer via support vector machine and transfer learning , 2015 .

[2]  Siti Khairunniza-Bejo,et al.  A comparative study on dimensionality reduction of dielectric spectral data for the classification of basal stem rot (BSR) disease in oil palm , 2020, Comput. Electron. Agric..

[3]  Qiang Yang,et al.  A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[4]  Yaser Ahangari Nanehkaran,et al.  Using deep transfer learning for image-based plant disease identification , 2020, Comput. Electron. Agric..

[5]  Jian Jin,et al.  Calibration transfer across multiple hyperspectral imaging-based plant phenotyping systems: I - Spectral space adjustment , 2020, Comput. Electron. Agric..

[6]  Paul Geladi,et al.  Principal Component Analysis , 1987, Comprehensive Chemometrics.

[7]  Wulfert,et al.  Correction of temperature-induced spectral variation by continuous piecewise direct standardization , 2000, Analytical chemistry.

[8]  R. Huerta,et al.  Calibration transfer and drift counteraction in chemical sensor arrays using Direct Standardization , 2016 .

[9]  Xuping Feng,et al.  Transfer learning method for plastic pollution evaluation in soil using NIR sensor. , 2020, The Science of the total environment.

[10]  Derek Abbott,et al.  Double-layered nitrocellulose membrane sample holding technique for THz and FIR spectroscopic measurements. , 2015, Optics express.

[11]  Yuan-yuan Chen,et al.  Cross components calibration transfer of NIR spectroscopy model through PCA and weighted ELM-based TrAdaBoost algorithm , 2019, Chemometrics and Intelligent Laboratory Systems.

[12]  Qiang Yang,et al.  Boosting for transfer learning , 2007, ICML '07.

[13]  M. Barker,et al.  Partial least squares for discrimination , 2003 .

[14]  T. Juenger,et al.  Overcoming Small Minirhizotron Datasets Using Transfer Learning , 2019, Comput. Electron. Agric..

[15]  Aydin Kaya,et al.  Analysis of transfer learning for deep neural network based plant classification models , 2019, Comput. Electron. Agric..

[16]  Zhangfeng Zhao,et al.  Visual detection of the moisture content of tea leaves with hyperspectral imaging technology , 2019, Journal of Food Engineering.

[17]  Jean-Michel Roger,et al.  Calibration transfer of intact olive NIR spectra between a pre-dispersive instrument and a portable spectrometer , 2013 .

[18]  Jerry Workman,et al.  A Review of Calibration Transfer Practices and Instrument Differences in Spectroscopy , 2018, Applied spectroscopy.

[19]  Xiaoli Li,et al.  Simultaneous determination of six main types of lipid-soluble pigments in green tea by visible and near-infrared spectroscopy. , 2019, Food chemistry.

[20]  Yong He,et al.  Moisture content prediction in tealeaf with near infrared hyperspectral imaging , 2015, Comput. Electron. Agric..