Caracterización del porcentaje de aceitunas mal posicionadas en máquinas deshuesadoras, rodajadoras y relleno de aceitunas de mesa (DRR)

  1. Lucas Pascual, Alberto
  2. Madueño Luna, Antonio
  3. Jódar Lázaro, Manuel de
  4. Molina Martínez, José Miguel
  5. Ruiz Canales, Antonio
Buch:
Proceedings of the 8th Workshop on agri-food research. WIA.19

Verlag: Universidad Politécnica de Cartagena

ISBN: 978-84-17853-08-2

Datum der Publikation: 2020

Seiten: 149-152

Kongress: Workshop on Agri-Food Research for young researchers (8. 2019. Cartagena)

Art: Konferenz-Beitrag

DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Zusammenfassung

This work provides an analysis of the percentage of poorly positioned olives (boats/beatas) that are generated in DRR machines of olives that incorporate an artificial vision system that evaluates based on the ejection angle selected if the olives are going well or poorly positioned and allows to give practical indications of the optimum angles to the factories to minimize the defects in the punching.

Fuente de los datos: Dialnet