Prediction approach of larch wood density from visible-near-infrared spectroscopy based on parameter calibrating and transfer learning.

Zhang, Zheyu; Li, Yaoxiang; Li, Ying

Zhang, Zheyu; Li, Yaoxiang; Li, Ying.

Afiliação

Zhang Z; College of Engineering and Technology, Northeast Forestry University, Harbin, China.
Li Y; College of Engineering and Technology, Northeast Forestry University, Harbin, China.
Li Y; College of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot, China.

Front Plant Sci ; 13: 1006292, 2022.

Article em En | MEDLINE | ID: mdl-36267936

Palavras-chave

calibration transfer; larch; transfer learning; visible and near-infrared spectroscopy; wood density

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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