01472nam a2200181 a 450000100080000000500110000800800410001902000220006010000180008224500990010026001770019930000090037652008270038565300180121265300220123065300180125270000200127021609742024-01-18       2023    bl uuuu     u00u1 u    #d  a978-1-68558-083-41 aMORENO, B. M.  aCharacterization of an IoT Stereo Image Sensor System for Weed Control.h[electronic resource]  aIn: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2023, 8., 2023, Venice, Italy. Proceedings... Wilmington, USA: IARIAc2023  a7 p.  a—Smart farming has emerged as a new option to deal with the adversities of food generation in agriculture in the face of growing demand, with the aim of increasing productivity allied to the search for a more sustainable world. One of the objects of study in precision agriculture is weed control and the conscious use of inputs. This article presents the development and characterization of an embedded stereo system using camera sensors and Internet of Things principles, for future application in the area of digital image processing. Concepts of validation of lenses by Modular Transfer Function, calibration of intrinsic parameters of sensors and 3D system and memory and energy consumption management are analyzed, and implemented in the construction of an equipment, which aim to control invasive plants in crops.  aCamera sensor  aEmbedded platform  aStereo vision1 aCRUVINEL, P. E.