RT info:eu-repo/semantics/conferencePaper
T1 Infrared photoelectric sensor network applied to remote arthropod insects’ surveillance
A1 Gaona Verón, Federico Augusto
A1 Quiñonez, Ever
A1 Jara Céspedes, Adolfo Javier
A1 Manabe, Ariel
A1 Silva, Norma
A1 Monteiro Schaerer, Magna María
A1 Schaerer Serra, Christian Emilio
A1 Vega Gómez, María Celeste
A1 Rojas de Arias, Gladys Antonieta
AB This 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.
PB SciTePress, Science and Technology Publications, Lda
SN 978-989-758-551-7
SN 2184-4380
YR 2022
FD 2022
LK http://hdl.handle.net/20.500.14066/4426
UL http://hdl.handle.net/20.500.14066/4426
LA eng
NO Gaona, 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.10.5220/0010793400003118
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 16-jul-2024