Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries

Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries

Soil texture is a key soil property influencing many agronomic practices including fertilization and liming. Therefore, an accurate estimation of soil texture is essential for adopting sustainable soil management practices. In this study, we used different machine learning algorithms trained on vis–...

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Bibliographic Details
Main Authors: Mohamed Zakaria Gouda, El Mehdi Nagihi, Lotfi Khiari, Jacques Gallichand, Mahmoud Ismail
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Agronomy
Subjects:
textural group
fine, medium and coarse texture
vis-NIR spectrum
dry chemistry
chemometrics
machine learning
Online Access:https://www.mdpi.com/2073-4395/11/8/1550

Internet

https://www.mdpi.com/2073-4395/11/8/1550

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