Optimal soil sampling design based on the maxvol algorithm
Computers and Society
2021-03-19 v1 Applications
Abstract
Spatial soil sampling is an integral part of a soil survey aimed at creating a soil map. We propose considering the soil sampling procedure as a task of optimal design. In practical terms, optimal experiments can reduce experimentation costs, as they allow the researcher to obtain one optimal set of points. We present a sampling design, based on the fundamental idea of selecting sample locations by performing an optimal design method called the maxvol algorithm. It is shown that the maxvol-base algorithm has a high potential for practical usage. Our method outperforms popular sampling methods in soil taxa prediction based on topographical features of the site and deals with massive agricultural datasets in a reasonable time.
Cite
@article{arxiv.2103.10337,
title = {Optimal soil sampling design based on the maxvol algorithm},
author = {Anna Petrovskaia and Gleb Ryzhakov and Ivan Oseledets},
journal= {arXiv preprint arXiv:2103.10337},
year = {2021}
}