Cargando…

Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel

Invasive aquatic plant species, and in particular Eurasian Water-Milfoil (EWM), pose a major threat to domestic flora and fauna and can in turn negatively impact local economies. Numerous strategies have been developed to harvest and remove these plant species from the environment. However it is sti...

Descripción completa

Detalles Bibliográficos
Autores principales: Codd-Downey, Robert, Jenkin, Michael, Dey, Bir Bikram, Zacher, James, Blainey, Eva, Andrews, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862761/
https://www.ncbi.nlm.nih.gov/pubmed/33553245
http://dx.doi.org/10.3389/frobt.2020.583416
_version_ 1783647359706595328
author Codd-Downey, Robert
Jenkin, Michael
Dey, Bir Bikram
Zacher, James
Blainey, Eva
Andrews, Peter
author_facet Codd-Downey, Robert
Jenkin, Michael
Dey, Bir Bikram
Zacher, James
Blainey, Eva
Andrews, Peter
author_sort Codd-Downey, Robert
collection PubMed
description Invasive aquatic plant species, and in particular Eurasian Water-Milfoil (EWM), pose a major threat to domestic flora and fauna and can in turn negatively impact local economies. Numerous strategies have been developed to harvest and remove these plant species from the environment. However it is still an open question as to which method is best suited to removing a particular invasive species and the impact of different lake conditions on the choice. One problem common to all harvesting methods is the need to assess the location and degree of infestation on an ongoing manner. This is a difficult and error prone problem given that the plants grow underwater and significant infestation at depth may not be visible at the surface. Here we detail efforts to monitor EWM infestation and evaluate harvesting methods using an autonomous surface vessel (ASV). This novel ASV is based around a mono-hull design with two outriggers. Powered by a differential pair of underwater thrusters, the ASV is outfitted with RTK GPS for position estimation and a set of submerged environmental sensors that are used to capture imagery and depth information including the presence of material suspended in the water column. The ASV is capable of both autonomous and tele-operation.
format Online
Article
Text
id pubmed-7862761
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-78627612021-02-06 Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel Codd-Downey, Robert Jenkin, Michael Dey, Bir Bikram Zacher, James Blainey, Eva Andrews, Peter Front Robot AI Robotics and AI Invasive aquatic plant species, and in particular Eurasian Water-Milfoil (EWM), pose a major threat to domestic flora and fauna and can in turn negatively impact local economies. Numerous strategies have been developed to harvest and remove these plant species from the environment. However it is still an open question as to which method is best suited to removing a particular invasive species and the impact of different lake conditions on the choice. One problem common to all harvesting methods is the need to assess the location and degree of infestation on an ongoing manner. This is a difficult and error prone problem given that the plants grow underwater and significant infestation at depth may not be visible at the surface. Here we detail efforts to monitor EWM infestation and evaluate harvesting methods using an autonomous surface vessel (ASV). This novel ASV is based around a mono-hull design with two outriggers. Powered by a differential pair of underwater thrusters, the ASV is outfitted with RTK GPS for position estimation and a set of submerged environmental sensors that are used to capture imagery and depth information including the presence of material suspended in the water column. The ASV is capable of both autonomous and tele-operation. Frontiers Media S.A. 2021-01-22 /pmc/articles/PMC7862761/ /pubmed/33553245 http://dx.doi.org/10.3389/frobt.2020.583416 Text en Copyright © 2021 Codd-Downey, Jenkin, Dey, Zacher, Blainey and Andrews. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Codd-Downey, Robert
Jenkin, Michael
Dey, Bir Bikram
Zacher, James
Blainey, Eva
Andrews, Peter
Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel
title Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel
title_full Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel
title_fullStr Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel
title_full_unstemmed Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel
title_short Monitoring Re-Growth of Invasive Plants Using an Autonomous Surface Vessel
title_sort monitoring re-growth of invasive plants using an autonomous surface vessel
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862761/
https://www.ncbi.nlm.nih.gov/pubmed/33553245
http://dx.doi.org/10.3389/frobt.2020.583416
work_keys_str_mv AT codddowneyrobert monitoringregrowthofinvasiveplantsusinganautonomoussurfacevessel
AT jenkinmichael monitoringregrowthofinvasiveplantsusinganautonomoussurfacevessel
AT deybirbikram monitoringregrowthofinvasiveplantsusinganautonomoussurfacevessel
AT zacherjames monitoringregrowthofinvasiveplantsusinganautonomoussurfacevessel
AT blaineyeva monitoringregrowthofinvasiveplantsusinganautonomoussurfacevessel
AT andrewspeter monitoringregrowthofinvasiveplantsusinganautonomoussurfacevessel