Application of LW-NIR for rapid prediction of primary nutrients cropland by chemometrics: Comparison among preprocessing and machine learning algorithm approaches-Reference-Cited by-同舟云学术

Application of LW-NIR for rapid prediction of primary nutrients cropland by chemometrics: Comparison among preprocessing and machine learning algorithm approaches

Published:2023-12 Issue: Volume:8 Page:100454
ISSN:2666-0164
Container-title:Case Studies in Chemical and Environmental Engineering
language:en
Short-container-title:Case Studies in Chemical and Environmental Engineering

Author:

Devianti ,Sufardi ,Bulan Ramayanty,Nurlaili ,Haris Oscar

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Environmental Science (miscellaneous),General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference43 articles.

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2. Estimation of total nitrogen and organic carbon contents in mine soils with NIR reflectance spectroscopy and various chemometric methods;Pudełko;Geoderma,2020

3. Predicting organic matter content, total nitrogen and pH value of lime concretion black soil based on visible and near infrared spectroscopy;Yubing;Eurasian Soil Sci.,2021

4. Achieving joint calibration of soil Vis-NIR spectra across instruments, soil types and properties by an attention-based spectra encoding-spectra/property decoding architecture;Lei;Geoderma,2022

5. Predicting soil properties and interpreting vis-NIR models from across continental United States;Clingensmith;Sensors,2022

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