Classification and Total Carbon Determination of the Soils Using RGB Digital Images Combined with Machine Learning-Reference-Cited by-同舟云学术

Classification and Total Carbon Determination of the Soils Using RGB Digital Images Combined with Machine Learning

Published:2022-08-10 Issue:2 Volume:54 Page:141-153
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:

Macedo dos Santos-Tonial Larissa¹^ORCID,Colla Marcos Schimit¹^ORCID,Carra Jéssica Bassetto²^ORCID,Fabris Marciéli²^ORCID,de Lima Vanderlei Aparecido¹^ORCID

Affiliation:

1. Departamento Acadêmico de Química, Universidade Tecnológica Federal do Paraná (UTFPR), Pato Branco, Brasil

2. Departamento Acadêmico de Química, Centro de Ciências Exatas, Universidade Estadual de Londrina (UEL), Londrina, Brasil

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2022.2110891

Reference47 articles.

1. Methods assessment for organic and inorganic carbon quantification in calcareous soils of the Mediterranean region

2. Multivariate image analysis methods applied to XPS imaging data sets

3. Identifying the origin of groundwater samples in a multi-layer aquifer system with Random Forest classification

4. NIR associated to PLS and SVM for fast and non-destructive determination of C, N, P, and K contents in poultry litter

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