Development of a CANSAT Prototype for the Detection of Vegetation Areas in Precision Agriculture through Aerial Imaging
DOI:
https://doi.org/10.18667/cienciaypoderaereo.709Keywords:
Image analysis, CANSAT, picosatellite, remote sensing, precision agricultureAbstract
This article presents the design of the CANSAT Heliospectrum, developed for remote sensing and image analysis, which participated in the annual competition held by the Society for Aerospace and Electronic Systems (AESS), Colombia Chapter. The team Helios, developer of the CANSAT, is part of astra Research Group at the University of Antioquia (Colombia). The equipment was designed following the restrictions imposed by the competition, which stated that the picosatellite must resemble a radiosonde with transmitters, electronic components, sensors that measure accelerations, atmospheric pressure, temperature, magnetic fields, and besides being able to fly at a height of at least 1,000 meters, fall freely and land with the help of a parachute. The design meets the requirements to make of this cansat a multipurpose platform focused on remote sensing for its application in precision agriculture activities. An RGB camera was implemented as payload. This component allowed obtaining qualitative results of vegetation indices through an image analysis algorithm that implements the Excess Green Index (Exg) and the Hue Saturation Value (HSV) color scale. The cansat is conceptualized in five subsystems: flight computer, telemetry, structure, descent and recovery, and power. The avionics of the picosatellite includes main components such as the Teensy 3,5 microcontroller, GPS GY-NEO6MV2 and IMU GY-89, while the recovery system has a parachute that is ejected with a servomotor. A prototype of the cansat was manufactured and successfully tested by Helios, being awarded the “Condors” category at the AESS CANSAT Colombia competition.
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