Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms

Title
Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms
Authors
Keywords
Portable X-ray fluorescence spectrometry, Proximal sensor, Tropical soils, Soil spatial variability, Random Forest
Journal
CATENA
Volume 197, Issue -, Pages 105003
Publisher
Elsevier BV
Online
2020-11-03
DOI
10.1016/j.catena.2020.105003

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

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