Application of non-conventional sensor technologies to the automatic monitoring and control of the virgin olive oil production process

  1. Diego Manuel Martínez Gila
Supervised by:
  1. Juan Gómez Ortega Director
  2. Javier Gámez García Director

Defence university: Universidad de Jaén

Fecha de defensa: 13 July 2016

  1. Manuel Berenguel Soria Chair
  2. Elisabet Estévez Estévez Secretary
  3. Andrea Bellincontro Committee member

Type: Thesis

Teseo: 443145 DIALNET lock_openRUJA editor


In recent years the production of virgin olive oil has experienced positive growth from qualitative and quantitative points of view, thanks to the transference of knowledge from the research centres to the production plant. However, the degree of automation of the virgin olive oil production process is at an earlier stage than other agronomic industries. In this context, the work developed in this doctoral thesis is seeking to deepen the application of two non-invasive technologies, near infrared spectroscopy and computer vision, in order to acquire information at process level, in different phases, and fundamentally with two specific purposes: (1) to assess in a qualitative form what is happening in the process from a physicochemical and organoleptic point of view, and (2) to use the acquired information in order to feed the automatic control structures at local level (sub-process), global level (process) or even in the decision making process about the operational mode of the production plant - i.e. the production planning