Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions

Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions

Increasing agricultural production is a major concern that aims to increase income, reduce hunger, and improve other measures of well-being. Recently, the prediction of soil-suitability has become a primary topic of rising concern among academics, policymakers, and socio-economic analysts to assess...

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Bibliographic Details
Main Authors: Maryem Ismaili, Samira Krimissa, Mustapha Namous, Abdelaziz Htitiou, Kamal Abdelrahman, Mohammed S. Fnais, Rachid Lhissou, Hasna Eloudi, Elhousna Faouzi, Tarik Benabdelouahab
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Agronomy
Subjects:
precision agriculture
sentinel-2
random forest
XgbTree
digital soil mapping
remote sensing
Online Access:https://www.mdpi.com/2073-4395/13/1/165

Internet

https://www.mdpi.com/2073-4395/13/1/165

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