EconPapers    
Economics at your fingertips  
 

Modelling Soil Water Content in Different Tillage Systems and Soil Types Using Machine Learning

Walter Mupangwa, Lovemore Chipindu, Bongani Ncube and Tonny P. Tauro
Additional contact information
Walter Mupangwa: International Water Management Institute
Lovemore Chipindu: International Water Management Institute
Bongani Ncube: International Water Management Institute

Papers published in Journals (Open Access), 2026

Keywords: soil water content; modelling; tillage; soil types; machine learning (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hdl.handle.net/10568/184600

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iwt:jounls:184600

DOI: 10.17159/wsa/2026.v52.i3.4220

Access Statistics for this article

More articles in Papers published in Journals (Open Access) from International Water Management Institute Contact information at EDIRC.
Bibliographic data for series maintained by Udana Ariyawansa ().

 
Page updated 2026-10-28
Handle: RePEc:iwt:jounls:184600