3D Soil Compaction Mapping through Kriging-based Exploration with a Mobile Robot

Pulido Fentanes, Jaime and Gould, Iain and Duckett, Tom and Pearson, Simon and Cielniak, Grzegorz (2018) 3D Soil Compaction Mapping through Kriging-based Exploration with a Mobile Robot. IEEE Robotics and Automation Letters . ISSN 2377-3766

Full content URL: https://ieeexplore.ieee.org/document/8391767/

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Abstract

This paper presents an automated method for creating spatial maps of soil condition with an outdoor mobile robot. Effective soil mapping on farms can enhance yields, reduce inputs and help protect the environment. Traditionally, data are collected manually at an arbitrary set of locations, then soil maps are constructed offline using kriging, a form of Gaussian process regression. This process is laborious and costly, limiting the quality and resolution of the resulting information.
Instead, we propose to use an outdoor mobile robot for automatic collection of soil condition data, building soil maps online and also adapting the robot's exploration strategy on-the-fly based on the current quality of the map. We show how using kriging variance as a reward function for robotic exploration allows for both more efficient data collection and better soil models. This work presents the theoretical foundations for our proposal and an experimental comparison of exploration strategies using soil compaction data from a field generated with a mobile robot.

Keywords:Agricultural Automation, field robotics, mapping
Subjects:F Physical Sciences > F621 Exploration Geology
D Veterinary Sciences, Agriculture and related subjects > D750 Soil as an Agricultural medium
H Engineering > H671 Robotics
D Veterinary Sciences, Agriculture and related subjects > D490 Agriculture not elsewhere classified
Divisions:College of Science > School of Computer Science
ID Code:33621
Deposited On:29 Oct 2018 11:07

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