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Virtual Twin of the Virgin Olive Oil Elaboration Process from Near Infrared Signals Processing by Artificial Neural Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 15 |
| Year of Publication: 2022 |
| Authors: A. Jiménez, M.P. Aguilera, G. Beltrán |
10.5120/ijca2022922145
|
A. Jiménez, M.P. Aguilera, G. Beltrán . Virtual Twin of the Virgin Olive Oil Elaboration Process from Near Infrared Signals Processing by Artificial Neural Networks. International Journal of Computer Applications. 184, 15 ( Jun 2022), 31-35. DOI=10.5120/ijca2022922145
Abstract
Artificial Neural Networks was applied to build neural models for the modelling of the Extra Virgin Olive Oil (EVOO) elaboration process, in an oil mill. This agro-industrial process was treated as three black-box architecture where an input signal, obtained on line by near infrared (NIR) sensors, is modiffied at each one. This process has been equated to a ‘multistage filter in cascade system’ where the process variables, as manipulated variables in each stage, generated a transformation in the product, that it is associated with the changes in NIR signal. These neural models were implemented in a Matlab graphical user interface to obtain a virtual twin of elaboration process.
References
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