Development of intelligent entomological traps for monitoring field indicators, such as insect population, through the application of the edge computing concept.

Following this concept, machine learning (machine learning) and image processing or data analysis (analytics) are applied at the point of installation of the traps, thus transmitting the results of this processing through networks emerging from the Internet environment of Things (Low Power Wide Area Networks).

This class of solutions enables the monitoring of these indicators in areas without coverage of traditional telephone networks, enabling greater sampling and amplitude of monitored areas.