Combination of Hyperspectral and Machine Learning to Invert Soil Electrical Conductivity

Jia, Pingping, Zhang, Junhua, He, Wei, Hu, Yi, Zeng, Rong, Zamanian, Kazem, Jia, Keli, Zhao, Xiaoning

DOI: 10.15488/19319
Published: 2022
Container: Not recorded
Publisher: Basel : MDPI
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.15488/19319,
  title = {Combination of Hyperspectral and Machine Learning to Invert Soil Electrical Conductivity},
  author = {Jia, Pingping and Zhang, Junhua and He, Wei and Hu, Yi and Zeng, Rong and Zamanian, Kazem and Jia, Keli and Zhao, Xiaoning},
  year = {2022},
  doi = {10.15488/19319},
  url = {https://doi.org/10.15488/19319}
}

RIS

TY  - JOUR
TI  - Combination of Hyperspectral and Machine Learning to Invert Soil Electrical Conductivity
AU  - Jia, Pingping
AU  - Zhang, Junhua
AU  - He, Wei
AU  - Hu, Yi
AU  - Zeng, Rong
AU  - Zamanian, Kazem
AU  - Jia, Keli
AU  - Zhao, Xiaoning
PY  - 2022
DO  - 10.15488/19319
UR  - https://doi.org/10.15488/19319
ER  -

APA

Pingping, J., Junhua, Z., Wei, H., Yi, H., Rong, Z., Kazem, Z., Keli, J., & Xiaoning, Z. (2022). Combination of Hyperspectral and Machine Learning to Invert Soil Electrical Conductivity. https://doi.org/10.15488/19319

Source records

datacite · retrieved 2026-09-26T06:20:46.793Z