Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects’ Surveillance

Federico Gaona, Ever Quiñonez, Adolfo Jara, Ariel Manabe, Norma Silva, Magna Monteiro, Christian Schaerer, María Vega, Antonieta Rojas de Arias

2022

Abstract

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.

Paper Citation

in Harvard Style

Gaona F., Quiñonez E., Jara A., Manabe A., Silva N., Monteiro M., Schaerer C., Vega M. and Rojas de Arias A. (2022). Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects’ Surveillance. In Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-551-7, pages 113-120. DOI: 10.5220/0010793400003118

in Bibtex Style

@conference{sensornets22,
author={Federico Gaona and Ever Quiñonez and Adolfo Jara and Ariel Manabe and Norma Silva and Magna Monteiro and Christian Schaerer and María Vega and Antonieta Rojas de Arias},
title={Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects’ Surveillance},
booktitle={Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2022},
pages={113-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010793400003118},
isbn={978-989-758-551-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects’ Surveillance
SN - 978-989-758-551-7
AU - Gaona F.
AU - Quiñonez E.
AU - Jara A.
AU - Manabe A.
AU - Silva N.
AU - Monteiro M.
AU - Schaerer C.
AU - Vega M.
AU - Rojas de Arias A.
PY - 2022
SP - 113
EP - 120
DO - 10.5220/0010793400003118