Analysis of the Functionality of the Feed Chain in Olive Pitting, Slicing and Stuffing Machines by IoT, Computer Vision and Neural Network Diagnosis

Autor: Antonio Ruiz Canales, Meritxell Justicia Segovia, José Miguel Madueño Luna, Antonio Madueño Luna, Alberto Lucas Pascual, Manuel de Jódar Lázaro, José Miguel Molina Martínez

Publikováno v: Sensors
Volume 20
Issue 5
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Sensors, Vol 20, Iss 5, p 1541 (2020)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Sensors (Basel, Switzerland)

Olive pitting, slicing and stuffing machines (DRR in Spanish) are characterized by the fact that their optimal functioning is based on appropriate adjustments. Traditional systems are not completely reliable because their minimum error rate is 1&ndas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4ed84381ff353c42af9e49738cc73ba
https://doi.org/10.3390/s20051541

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