Conceptual design of an autonomous rover with ground penetrating radar: Application in characterizing soils using deep learning

Petri Linna, Toni Aaltonen, Antti Halla, Jere Grönman, Nathaniel Narra Girish

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
33 Downloads (Pure)

Abstract

In the pursuit to make agricultural production efficient, the earliest farmers used data in the form of notes of observations. In the current age of data,it has become easier to collect data over a wide spectrum of parameters. There are numerous sensing technologies for measuring processes and parameters over the field surface, typically mounted on satellites, aerial (drone), ground vehicle and static platforms. In the latest understanding, soil is gaining increasing attention and recognition for its significance in not only increasing productivity but also stabilizing the environment. However, characterizing soil in a field is not trivial, especially when required toaccess the deeper layers and quantifying the essential contents –water, nutrients and organic matter.

This paper presents a short review of applications of ground penetrating radars (GPR) in measuring soil content and structure. The focusis ondeeplearning constructs that have been used for interpreting and establishing correlations. The review serves to inform design considerations for a planned autonomous rover that will be used for surveying field soils in the Satakunta region of Finland
Original languageEnglish
Title of host publication2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings
EditorsMarko Koricic, Karolj Skala, Zeljka Car, Marina Cicin-Sain, Vlado Sruk, Dejan Skvorc, Slobodan Ribaric, Bojan Jerbic, Stjepan Gros, Boris Vrdoljak, Mladen Mauher, Edvard Tijan, Tihomir Katulic, Predrag Pale, Tihana Galinac Grbac, Nikola Filip Fijan, Adrian Boukalov, Dragan Cisic, Vera Gradisnik
PublisherIEEE
Pages1174-1179
Number of pages6
ISBN (Electronic)9789532330991
DOIs
Publication statusPublished - 28 Sept 2020
Publication typeA4 Article in conference proceedings
EventInternational Convention on Information, Communication and Electronic Technology - Opatija, Croatia
Duration: 28 Sept 20202 Oct 2020

Publication series

Name2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings
ISSN (Electronic)2623-8764

Conference

ConferenceInternational Convention on Information, Communication and Electronic Technology
Country/TerritoryCroatia
CityOpatija
Period28/09/202/10/20

Keywords

  • Autonomous rover
  • Deep learning
  • Ground penetrating radar
  • Soil

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Hardware and Architecture

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