Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning

Title
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
Authors
Keywords
Macro-nutrients, Micro-nutrients, Random forest, Machine learning, Soil nutrient map, Spatial prediction, Africa
Journal
NUTRIENT CYCLING IN AGROECOSYSTEMS
Volume 109, Issue 1, Pages 77-102
Publisher
Springer Nature
Online
2017-08-02
DOI
10.1007/s10705-017-9870-x

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started