Estimation of soil inorganic carbon with visible near-infrared spectroscopy coupling of variable selection and deep learning in arid region of China-Reference-Cited by-同舟云学术

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Estimation of soil inorganic carbon with visible near-infrared spectroscopy coupling of variable selection and deep learning in arid region of China

Published:2023-09 Issue: Volume:437 Page:116589
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Bai Zijin,Chen Songchao^ORCID,Hong Yongsheng,Hu Bifeng,Luo Defang,Peng Jie,Shi Zhou^ORCID

Publisher

Elsevier BV

Subject

Soil Science

Reference64 articles.

1. Plant roots are more important than temperature in modulating carbon release in a limed acidic soil;Ahmad;Eur. J. Soil Sci.,2020

2. Improvement in spectral library−based quantification of soil properties using representative spiking and local calibration–the case of soil inorganic carbon prediction by mid−infrared spectroscopy;Barthès;Geoderma,2020

3. Reflectance measurements of soils in the laboratory: standards and protocols;Ben-Dor;Geoderma,2015

4. Digital mapping of GlobalSoilMap soil properties at a broad scale: a review;Chen;Geoderma,2022

5. Hyperspectral polarization-compressed imaging and reconstruction with sparse basis optimized by particle swarm optimization;Fan;Chemom. Intell. Lab. Syst.,2020

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