Events The 1st International Electronic Conference on Agronomy

Event submissions

Published

10.3390/IECAG2021-10009 (registering DOI)

This submission belongs to the session S5. Weed Invasion, Biology and Management in Agricultural Settings of the event The 1st International Electronic Conference on Agronomy

Published date

11 May, 2021

Citation

Luiz Carlos Marques Junior, José Alfredo Covolan Ulson, Weed Detection using Computer Vision and Artificial Inteligence in the Raspberry Pi Plataform as an Edge Device, in Proceedings of The 1st International Electronic Conference on Agronomy, 3 May–17 May 2021, MDPI: Basel, Switzerland, doi: 10.3390/IECAG2021-10009

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Weed Detection using Computer Vision and Artificial Inteligence in the Raspberry Pi Plataform as an Edge Device

Luiz Carlos Marques Junior ¹

José Alfredo Covolan Ulson ¹

1. São Paulo State University (UNESP), School of Engineering, Bauru, Department of Electrical Engineering, 17033-360 Bauru, SP, Brazil

Abstract

Keywords

Weed detection

Artificial Intelligence

Edge Computing

Deep Learning

Raspberry Pi

Precision Agriculture.

Manuscript

043749.pdf