Título:	Characterization of an IoT Stereo Image Sensor System for Weed Control.
Autoria:	MORENO, B. M. CRUVINEL, P. E.
Afiliação:	Federal University of Sao Carlos; PAULO ESTEVAO CRUVINEL, CNPDIA.
Ano de publicação:	2023
Referência:	In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2023, 8., 2023, Venice, Italy. Proceedings... Wilmington, USA: IARIA, 2023.
Páginas:	7 p.
Conteúdo:	—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.
Palavras-chave:	Camera sensor Stereo vision Embedded platform
ISBN:	978-1-68558-083-4
Tipo do material:	Artigo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPDIA)