Organic Carbon and Total Iron Effect on Soil Vis-SWNIR Spectraand Quantification of Their Contents Using PLS R Models-Reference-Cited by-同舟云学术

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Organic Carbon and Total Iron Effect on Soil Vis-SWNIR Spectraand Quantification of Their Contents Using PLS R Models

Published:2020-05-14 Issue:9 Volume:51 Page:1253-1267
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Aïchi H.¹^ORCID,Fouad Y.²,Causeur D.³,Walter C.²

Affiliation:

1. Ecole supérieure d’agriculture de mograne, université de Carthage, Tunisie

2. UMR SAS, Agrocampus-Ouest-INRA, Rennes, France

3. Department of statistics and computer science, Agrocampus-Ouest Rennes-Laboratoire de Mathématiques Appliquées, Rennes, France

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2020.1751187

Reference54 articles.

1. Regional predictions of soil organic carbon content from spectral reflectance measurements

2. MOISTURE EFFECTS ON VISIBLE SPECTRAL CHARACTERISTICS OF LATERITIC SOILS

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Iron-removal learning machine for multicolor determination of soil organic carbon;Journal of Soils and Sediments;2024-03-12

2. Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory;Journal of Spectroscopy;2023-12-20

3. Estimation of total iron in soil using a water-absorption-peak-based color reconstructing machine (WCRM) method;Biosystems Engineering;2022-08

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