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On the design of a bioacoustic sensor for the early detection of the red palm weevil

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On the design of a bioacoustic sensor for the early detection of the red palm weevil

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dc.contributor.author Martinez Rach, Miguel Onofre es_ES
dc.contributor.author Migallón, Héctor es_ES
dc.contributor.author López Granado, Otoniel es_ES
dc.contributor.author Perez Malumbres, Manuel Jose es_ES
dc.contributor.author Martí Campoy, Antonio es_ES
dc.contributor.author Serrano Martín, Juan José es_ES
dc.date.accessioned 2014-10-30T16:14:26Z
dc.date.available 2014-10-30T16:14:26Z
dc.date.issued 2013-01
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10251/43739
dc.description.abstract During the last two decades Red Palm Weevil (RPW, Rynchophorus Ferrugineus) has become one of the most dangerous threats to palm trees in many parts of the World. Its early detection is difficult, since palm trees do not show visual evidence of infection until it is too late for them to recover. For this reason the development of efficient early detection mechanisms is a critical element of RPW pest management systems. One of the early detection mechanisms proposed in the literature is based on acoustic monitoring, as the activity of RPW larvae inside the palm trunk is audible for human operators under acceptable environmental noise levels (rural areas, night periods, etc.). In this work we propose the design of an autonomous bioacoustic sensor that can be installed in every palm tree under study and is able to analyze the captured audio signal during large periods of time. The results of the audio analysis would be reported wirelessly to a control station, to be subsequently processed and conveniently stored. That control station is to be accessible via the Internet. It is programmed to send warning messages when predefined alarm thresholds are reached, thereby allowing supervisors to check on-line the status and evolution of the palm tree orchards. We have developed a bioacoustic sensor prototype and performed an extensive set of experiments to measure its detection capability, achieving average detection rates over 90%. es_ES
dc.description.sponsorship We would like to acknowledge Michel Ferry and Susi Gomez (from Estacion Phoenix at Elche, Spain) for giving us access to their large RPW sound recording corpora and offering their cooperation during the development of this work. Finally, this work has been partially funded by Spanish Ministry of Education and Science under grants CTM2011-29691-C02-01, TIN2011-28435-C03-01 and TIN2011-27543-C03-03. en_EN
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Pest detection es_ES
dc.subject Acoustic signal processing es_ES
dc.subject Wavelet transform es_ES
dc.subject Pattern matching es_ES
dc.subject Acoustic sensor design es_ES
dc.subject Wireless sensor networks es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title On the design of a bioacoustic sensor for the early detection of the red palm weevil es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s130201706
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-27543-C03-03/ES/TRANSMISION DE VIDEO EFICIENTE Y ROBUSTA PARA ENTORNOS DE RED VEHICULARES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2011-28435-C03-01/ES/INVESTIGACION EN LA MEJORA DE LA CONFIABILIDAD DE APLICACIONES BASADAS EN WSN MEDIANTE EL DESARROLLO DE UNA PLATAFORMA HIBRIDA DE MONITORIZACION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CTM2011-29691-C02-01/ES/SENSORIZACION AMBIENTAL SUBACUATICA PARA LA INSPECCION Y MONITORIZACION DE EXPLOTACIONES DE ACUICULTURA MARINA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Martinez Rach, MO.; Migallón, H.; López Granado, O.; Pérez Malumbres, MJ.; Martí Campoy, A.; Serrano Martín, JJ. (2013). On the design of a bioacoustic sensor for the early detection of the red palm weevil. Sensors. 13(2):1706-1729. doi:10.3390/s130201706 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.3390/s130201706 es_ES
dc.description.upvformatpinicio 1706 es_ES
dc.description.upvformatpfin 1729 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 232615
dc.identifier.pmid 23364196 en_EN
dc.identifier.pmcid PMC3649424 en_EN
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