Prediction of Soil Available Boron Content in Visible-Near-Infrared Hyperspectral Based on Different Preprocessing Transformations and Characteristic Wavelengths Modeling | Zendy

Juanjuan Zhu | Zendy; Xiu Jin | Zendy; Shaowen Li | Zendy; Yalu Han | Zendy; Wenrui Zheng | Zendy

Open Access

Prediction of Soil Available Boron Content in Visible-Near-Infrared Hyperspectral Based on Different Preprocessing Transformations and Characteristic Wavelengths Modeling

Author(s) -

Juanjuan Zhu,

Xiu Jin,

Shaowen Li,

Yalu Han,

Wenrui Zheng

Publication year - 2022

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2022/9748257

Subject(s) - hyperspectral imaging , preprocessor , infrared , wavelength , remote sensing , content (measure theory) , boron , near infrared spectroscopy , computer science , environmental science , artificial intelligence , pattern recognition (psychology) , biological system , materials science , optics , chemistry , mathematics , physics , optoelectronics , geology , organic chemistry , biology , mathematical analysis

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