Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus
Predicting soil chemical properties such as soil organic carbon (SOC) and available phosphorus (Ava-P) content is critical in areas where different land uses exist. The distribution of SOC and Ava-P is influenced by both natural and anthropogenic factors. This study aimed at (1) predicting SOC and A...
Main Authors: | Fuat Kaya, Ali Keshavarzi, Rosa Francaviglia, Gordana Kaplan, Levent Başayiğit, Mert Dedeoğlu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/12/7/1062 |
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