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Application of teams of usvs for cyanobacteria monitoring: initial steps

dc.contributor.authorGirón Sierra, José María Ricardo
dc.contributor.authorChacón Sombría, Jesús
dc.date.accessioned2023-06-17T09:18:06Z
dc.date.available2023-06-17T09:18:06Z
dc.date.issued2021
dc.description©2021 The Authors. The authors wish to thank the support of the Spanish MCINN Retos Project RTI 2018-098962-B-C21.
dc.description.abstractReservoirs and other water masses could suffer dangerous situations because cyanobacteria blooms. It is convenient for public safety, and for research purposes, to be able to detect the presence of this bacterium in the water, and to monitor its evolution along time. When possible, it would be useful to predict a bloom in the near future. And, in case of having a bloom, it would be relevant to have an eye on its dynamics Our research proposes the use of a specialized team of USVs for these objectives. A series of initial steps has been accomplished, for having microbiology experts on board, and for developing strategies and infrastructure for this project. Standard lawn-mower procedures were precluded: it is more a scenario for intelligent methods, based on models and data-driven explorations of water masses. Some studies in simulation, and experiments with USVs have been initiated.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Cienncia e Innovación (MICINN)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/69043
dc.identifier.doi10.1016/j.ifacol.2021.10.125
dc.identifier.issn2405-8963
dc.identifier.officialurlhttp://dx.doi.org/10.1016/j.ifacol.2021.10.125
dc.identifier.relatedurlhttps://www.sciencedirect.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/8562
dc.issue.number16
dc.journal.titleIFAC papersonline
dc.language.isoeng
dc.page.final421
dc.page.initial416
dc.publisherElsevier
dc.relation.projectIDRTI 2018-098962-B-C21
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.cdu004.8
dc.subject.keywordWater pollution
dc.subject.keywordAutonomous surface vehicles
dc.subject.keywordCyanobacteria
dc.subject.keywordRobot teams
dc.subject.keywordEnvironmental monitoring
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titleApplication of teams of usvs for cyanobacteria monitoring: initial steps
dc.typejournal article
dc.volume.number54
dspace.entity.typePublication
relation.isAuthorOfPublication528ed45e-3f1d-488d-a0e4-0ed88ca2370e
relation.isAuthorOfPublicatione987dc75-a909-418c-93a6-23ad9eb40ce6
relation.isAuthorOfPublication.latestForDiscoverye987dc75-a909-418c-93a6-23ad9eb40ce6

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