Cargando…

Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses

The productivity of greenhouses highly depends on the environmental conditions of crops, such as temperature and humidity. The control and monitoring might need large sensor networks, and as a consequence, mobile sensory systems might be a more suitable solution. This paper describes the application...

Descripción completa

Detalles Bibliográficos
Autores principales: Roldán, Juan Jesús, Garcia-Aunon, Pablo, Garzón, Mario, de León, Jorge, del Cerro, Jaime, Barrientos, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970068/
https://www.ncbi.nlm.nih.gov/pubmed/27376297
http://dx.doi.org/10.3390/s16071018
_version_ 1782445904713744384
author Roldán, Juan Jesús
Garcia-Aunon, Pablo
Garzón, Mario
de León, Jorge
del Cerro, Jaime
Barrientos, Antonio
author_facet Roldán, Juan Jesús
Garcia-Aunon, Pablo
Garzón, Mario
de León, Jorge
del Cerro, Jaime
Barrientos, Antonio
author_sort Roldán, Juan Jesús
collection PubMed
description The productivity of greenhouses highly depends on the environmental conditions of crops, such as temperature and humidity. The control and monitoring might need large sensor networks, and as a consequence, mobile sensory systems might be a more suitable solution. This paper describes the application of a heterogeneous robot team to monitor environmental variables of greenhouses. The multi-robot system includes both ground and aerial vehicles, looking to provide flexibility and improve performance. The multi-robot sensory system measures the temperature, humidity, luminosity and carbon dioxide concentration in the ground and at different heights. Nevertheless, these measurements can be complemented with other ones (e.g., the concentration of various gases or images of crops) without a considerable effort. Additionally, this work addresses some relevant challenges of multi-robot sensory systems, such as the mission planning and task allocation, the guidance, navigation and control of robots in greenhouses and the coordination among ground and aerial vehicles. This work has an eminently practical approach, and therefore, the system has been extensively tested both in simulations and field experiments.
format Online
Article
Text
id pubmed-4970068
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-49700682016-08-04 Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses Roldán, Juan Jesús Garcia-Aunon, Pablo Garzón, Mario de León, Jorge del Cerro, Jaime Barrientos, Antonio Sensors (Basel) Article The productivity of greenhouses highly depends on the environmental conditions of crops, such as temperature and humidity. The control and monitoring might need large sensor networks, and as a consequence, mobile sensory systems might be a more suitable solution. This paper describes the application of a heterogeneous robot team to monitor environmental variables of greenhouses. The multi-robot system includes both ground and aerial vehicles, looking to provide flexibility and improve performance. The multi-robot sensory system measures the temperature, humidity, luminosity and carbon dioxide concentration in the ground and at different heights. Nevertheless, these measurements can be complemented with other ones (e.g., the concentration of various gases or images of crops) without a considerable effort. Additionally, this work addresses some relevant challenges of multi-robot sensory systems, such as the mission planning and task allocation, the guidance, navigation and control of robots in greenhouses and the coordination among ground and aerial vehicles. This work has an eminently practical approach, and therefore, the system has been extensively tested both in simulations and field experiments. MDPI 2016-07-01 /pmc/articles/PMC4970068/ /pubmed/27376297 http://dx.doi.org/10.3390/s16071018 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Roldán, Juan Jesús
Garcia-Aunon, Pablo
Garzón, Mario
de León, Jorge
del Cerro, Jaime
Barrientos, Antonio
Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses
title Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses
title_full Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses
title_fullStr Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses
title_full_unstemmed Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses
title_short Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses
title_sort heterogeneous multi-robot system for mapping environmental variables of greenhouses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970068/
https://www.ncbi.nlm.nih.gov/pubmed/27376297
http://dx.doi.org/10.3390/s16071018
work_keys_str_mv AT roldanjuanjesus heterogeneousmultirobotsystemformappingenvironmentalvariablesofgreenhouses
AT garciaaunonpablo heterogeneousmultirobotsystemformappingenvironmentalvariablesofgreenhouses
AT garzonmario heterogeneousmultirobotsystemformappingenvironmentalvariablesofgreenhouses
AT deleonjorge heterogeneousmultirobotsystemformappingenvironmentalvariablesofgreenhouses
AT delcerrojaime heterogeneousmultirobotsystemformappingenvironmentalvariablesofgreenhouses
AT barrientosantonio heterogeneousmultirobotsystemformappingenvironmentalvariablesofgreenhouses