Awards & Nominations
GIEM has received the following awards and nominations. Way to go!
GIEM has received the following awards and nominations. Way to go!
This project was designed to monitor arthropods in a surveillance zone by a net of sensors on earth, which transmit the collected data to a LEO satellite. In addition, a web application is added to show the collected data, generating reports and heatmaps displaying points where the insects are highly present. The benefit, is that the project not only uses simple electronics, but also the entire system is energetically self-sufficient and the materials are made of cardboard and recycled bottles, aiming at our commitment to the environment. This system will help researches to detect and track the movement of arthropods, thus becoming a tool for the entomologists to collect these data.
This work presents a design and implementation of a device with electronic sensors, capable of detecting the entry of an arthropod into a trap, in order to determine its presence in a specific region, obtain a sample of the population, as well as determine the periods of greatest activity of the same taking account the climatic factors. Cardboard boxes are used as traps which do not retain or make it impossible for the insect to get out of it, as the principle of attraction the attractant pheromone of the arthropod to be studied is used and as a detection principle infrared photoelectric sensors are used (emitting LEDs and receivers) and also a PIC16f1825 microcontroller with software developed in MPLAB XC8 capable of registering, filtering and discriminating analog signals produced by the movement of insects. All the data obtained will be transmitted through an XBee-Pro 2.4 GHz module through the other detectors configured with a Mayan-type communication topology until reaching the data concentrator, which concatenates the data obtained by the detectors with atmospheric data (Humidity, temperature, amount of precipitation, atmospheric pressure, wind speed and direction) and data obtained by a Real Time Clock (Date and Time), once organized these data are transmitted by a LoRa module through an omnidirectional antenna to a LEO satellite (Low Earth Orbit), later the data will be available in a web App developed in Python and Rust using Docker-compose with a graphical representation and a map of detections created thanks to the installed detector networks. The system was developed for installation in harsh environments, difficult to access and with the ability to function without the need for reviews or interventions by a person thanks to the fact that it has an uninterrupted power supply module through solar panels and batteries.
This system will make it possible to detect and track the movement of arthropods, thus becoming a tool for entomologists and biologists, improving conventional methods for collecting these data.
Within the framework of the development of the first Paraguayan satellite "GuaraniSat-1", promoted by the AEP (Paraguayan Space Agency), which has as its main mission defined by the team of researchers in charge of its development the public health problem that has called the attention of the Scientific Society of Paraguay, the endemic caused by Chagas disease in the Paraguayan Chaco, in this way the first version of the project was used in the detection of Triatoma infestans, thus collecting data about the areas where are the transmitting insects of this disease.
This was a challenge that pushed us to increase our teamwork and research skills and also to assume responsibilities both individually and collectively in order to effectively undertake the task.
The inspiration of our team was based on the commitment that each member has with the environment, the preservation of pollinating arthropods, and the monitoring of those possible invaders.
Our approach is rather general, that is, monitoring is not limited to a specific species, since it depends on the type of pheromone that is applied. Furthermore, this could be a relevant complement in studies related to arthropods by biologists or entomologists.
Finally, without any doubt, we would like to thank NASA for having given us the opportunity to present this project to the world.
Acosta, N., López, E., González, N., Fernández, M. J., Rojas de Arias, A. (2002) Perfiles isoenzimaticos de poblaciones de Triatoma infestans de la Región Oriental y Occidental del Paraguay. In Memories of the Institute of Research in Health Sciences.
Rojas de Arias, A., Abad-Franch, F., Acosta, N., López, E., González, N., Zerba, E., Tarelli, G., Masuh, H. (2012) Post-Control Surveillance of Triatoma infestans and Triatoma sordida with Chemically-Baited Sticky Traps. PLoS Negl Trop Dis 6(9): e1822. doi: 10.1371/journal.pntd.0001822.
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Gaona, F., Jara, A., Vera, M., Aquino, S., Schaerer, C., Monteiro, M., Juiz, C., Serra, B., Vega, M.C., Rojas de Arias, A. (2014) Using infrared photoelectric sensors for automatic detection of reinfestation by Triatoma infestans. In 3rd Conference Of Computational Interdisciplinary Sciences. PACIS.
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#sensors #satellite #solarpanel #arthropod #recycle
This project has been submitted for consideration during the Judging process.
Our lives hinge on the wellbeing of insects; at the same time, insect biodiversity is disproportionately affected by human actions. Your challenge is to develop innovative ways to advance our ability to detect insect life, track and predict change over time, and communicate that information to scientists and society to combat the loss of insect biodiversity.

