Original Articles
31 December 2007
Vol. 38 No. 4 (2007)
https://doi.org/10.4081/jae.2007.4.11

A MODELLING APPROACH TO EXTRA VIRGIN OLIVE OIL EXTRACTION

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Olive oil, Control system, Prediction algorithm.
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Authors

Marco Daou
mikimos@mac.com
Rocco Furferi
Lucia Recchia
Enrico Cini
In the present work is described a feasibility assessment for a new approach in virgin olive oil production control system. A predicting or simulating algorithm is implemented as artificial neural network based software, using literature found data concerning parameters related to olive grove, process, machine. Test and validation proved this tool is able to answer two different frequently asked questions by olive oil mill operators, using few agronomic and technological parameters with time and cost saving: – which quality level is up to oil extracted from defined olive lot following a defined process (predicting mode); – which process and machine parameters set would determine highest quality level for oil extracted from a defined olive lot (simulating mode).

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How to Cite



“A MODELLING APPROACH TO EXTRA VIRGIN OLIVE OIL EXTRACTION” (2007) Journal of Agricultural Engineering, 38(4), pp. 11–20. doi:10.4081/jae.2007.4.11.