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dc.contributor.authorGaona Verón, Federico Augusto 
dc.contributor.authorQuiñonez, Ever
dc.contributor.authorJara Céspedes, Adolfo Javier 
dc.contributor.authorManabe, Ariel
dc.contributor.authorSilva, Norma
dc.contributor.authorMonteiro Schaerer, Magna María 
dc.contributor.authorSchaerer Serra, Christian Emilio 
dc.contributor.authorVega Gómez, María Celeste 
dc.contributor.authorRojas de Arias, Gladys Antonieta 
dc.date.accessioned2024-07-15T18:40:36Z
dc.date.available2024-07-15T18:40:36Z
dc.date.issued2022
dc.identifier.citationGaona, F., Quiñonez, E., Jara, A., Manabe, A., Silva, N., Monteiro, M., Schaerer, C. E., Vega, M. C., & Rojas de Arias, A. (2022). Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects’ Surveillance. In R. V. Prasad, D. Pesch, N. Ansari & C. B. Peces (Eds.), Proceedings of the 11th International Conference on Sensor Networks - SENSORNETS 2022 (pp. 113-120). SciTePress, Science and Technology Publications. 10.5220/0010793400003118en
dc.identifier.isbn978-989-758-551-7es
dc.identifier.issn2184-4380es
dc.identifier.urihttp://hdl.handle.net/20.500.14066/4426
dc.description.abstractThis work presents a monitoring system trap to detect the presence of arthropod insects in a remote surveillance zone. Detections are made using sensor traps that are installed in twenty houses of an indigenous village of the Paraguayan Chaco in South America, where the insects that transmit Chagas disease are pressing to infest the area. Pheromone baits are used to ensure the attraction of Triatoma infestans. For detecting variations of the light due to insect intrusion, trap entrances have photoelectric infrared sensors. Once the insect is detected, the information is collected and transmitted to an Internet database storage server. More than 750 intrusions were detected during nine months, the highest number of detections occurred when the temperature ranged between 20 C̊ and 34 C̊, relative humidity average less than 30% and the precipitation was less than 1.5 mm. This new result provides evidence of the T. infestans activity at different times of the day and month, and its relationship with certain environmental variables. These findings contribute to reorientate surveillance procedures, validate the monitoring system proposal and give important information on the vector's life activity.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.publisherSciTePress, Science and Technology Publications, Ldaes
dc.relation.ispartofProceedings of the 11th International Conference on Sensor Networks (SENSORNETS 2022)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherArthropodes
dc.subject.otherInfraredes
dc.subject.otherMonitoringes
dc.subject.otherPhotoelectrices
dc.subject.otherSensorses
dc.subject.otherSystemes
dc.titleInfrared photoelectric sensor network applied to remote arthropod insects’ surveillancees
dc.typeinfo:eu-repo/semantics/conferencePaperes
dc.identifier.doi10.5220/0010793400003118es
dc.conference.date2022-02-07
dc.conference.title11th International Conference on Sensor Networks (SENSORNETS 2022)es
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Programa Nacional de Incentivo a los Investigadoreses
dc.page.initial113es
dc.page.final120es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.copyright© 2022 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.es
dc.volume.number1es


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