A Comparative Analysis of Machine Learning and Pedotransfer Functions Under Varying Data Availability in Two Greek Regions

A Comparative Analysis of Machine Learning and Pedotransfer Functions Under Varying Data Availability in Two Greek Regions

The current study evaluates the performance of pedotransfer functions (PTFs) and machine learning (ML) algorithms in predicting the soil bulk density (BD) across two distinct regions in Greece—Kozani and Veroia—using both limited and extended sets of soil parameters. The results reveal significant r...

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Bibliographic Details
Main Authors: Panagiotis Tziachris, Panagiota Louka, Eirini Metaxa, Miltiadis Iatrou, Konstantinos Tsiouplakis
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agriculture
Subjects:
soil bulk density
soil parameters
machine learning
pedotransfer functions
soil organic carbon
Online Access:https://www.mdpi.com/2077-0472/15/11/1134
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https://www.mdpi.com/2077-0472/15/11/1134

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