nerc.ac.uk

Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor

Pulido Fentanes, Jaime; Badiee, Amir; Duckett, Tom; Evans, Jonathan ORCID: https://orcid.org/0000-0003-4194-1416; Pearson, Simon; Cielniak, Grzegorz. 2020 Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor [in special issue: Agricultural robotics. Part 1] Journal of Field Robotics, 37 (1). 122-136. 10.1002/rob.21914

Before downloading, please read NORA policies.
[thumbnail of N525862JA.pdf]
Preview
Text
N525862JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (6MB) | Preview

Abstract/Summary

Soil moisture monitoring is a fundamental process to enhance agricultural outcomes and to protect the environment. The traditional methods for measuring moisture content in the soil are laborious and expensive, and therefore there is a growing interest in developing sensors and technologies which can reduce the effort and costs. In this work, we propose to use an autonomous mobile robot equipped with a state‐of‐the‐art noncontact soil moisture sensor building moisture maps on the fly and automatically selecting the most optimal sampling locations. We introduce an autonomous exploration strategy driven by the quality of the soil moisture model indicating areas of the field where the information is less precise. The sensor model follows the Poisson distribution and we demonstrate how to integrate such measurements into the kriging framework. We also investigate a range of different exploration strategies and assess their usefulness through a set of evaluation experiments based on real soil moisture data collected from two different fields. We demonstrate the benefits of using the adaptive measurement interval and adaptive sampling strategies for building better quality soil moisture models. The presented method is general and can be applied to other scenarios where the measured phenomena directly affect the acquisition time and need to be spatially mapped.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1002/rob.21914
UKCEH and CEH Sections/Science Areas: Hydro-climate Risks (Science Area 2017-)
ISSN: 1556-4959
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: agriculture, environmental monitoring, exploration, terrestrial robotics
NORA Subject Terms: Agriculture and Soil Science
Date made live: 13 Nov 2019 11:11 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/525862

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...