Predicting Particle Size and Soil Organic Carbon of Soil Profiles Using VIS-NIR-SWIR Hyperspectral Imaging and Machine Learning Models

Predicting Particle Size and Soil Organic Carbon of Soil Profiles Using VIS-NIR-SWIR Hyperspectral Imaging and Machine Learning Models

Modeling spectral reflectance data using machine learning algorithms presents a promising approach for estimating soil attributes. Nevertheless, a comprehensive investigation of the most effective models, parameters, wavelengths, and data acquisition techniques is essential to ensure optimal predict...

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Bibliographic Details
Main Authors: Karym Mayara de Oliveira, João Vitor Ferreira Gonçalves, Renato Herrig Furlanetto, Caio Almeida de Oliveira, Weslei Augusto Mendonça, Daiane de Fatima da Silva Haubert, Luís Guilherme Teixeira Crusiol, Renan Falcioni, Roney Berti de Oliveira, Amanda Silveira Reis, Arney Eduardo do Amaral Ecker, Marcos Rafael Nanni
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Remote Sensing
Subjects:
data modeling
predictive model
remote sensing
spectroscopy of soils
spectral signature
Online Access:https://www.mdpi.com/2072-4292/16/16/2869

Internet

https://www.mdpi.com/2072-4292/16/16/2869

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