2016
DOI: 10.1002/jsfa.7733
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Novel technologies for monitoring the in‐line quality of virgin olive oil during manufacturing and storage

Abstract: The quality of virgin olive oil is related to the agronomic conditions of the olive fruits and the process variables of the production process. Nowadays, food markets demand better products in terms of safety, health and organoleptic properties with competitive prices. Innovative techniques for process control, inspection and classification have been developed in order to to achieve these requirements. This paper presents a review of the most significant sensing technologies which are increasingly used in the … Show more

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Cited by 23 publications
(9 citation statements)
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“…Olive oil extraction is associated with production of large quantities of residues (unrefined olive oil) that require extra processing to convert them into virgin olive oil (Beltran-Ortega, Martínez Gila, Aguilera Puerto, Gámez García, & Gómez Ortega, 2016). Feeding crude (unrefined) olive oil to dairy cows is not common and is rarely cited in reports, contrary to the case with sheep (Vargas-Bello-Perez et al, 2013b).…”
Section: Introductionmentioning
confidence: 99%
“…Olive oil extraction is associated with production of large quantities of residues (unrefined olive oil) that require extra processing to convert them into virgin olive oil (Beltran-Ortega, Martínez Gila, Aguilera Puerto, Gámez García, & Gómez Ortega, 2016). Feeding crude (unrefined) olive oil to dairy cows is not common and is rarely cited in reports, contrary to the case with sheep (Vargas-Bello-Perez et al, 2013b).…”
Section: Introductionmentioning
confidence: 99%
“… Process scheme for virgin olive oil production. Published from [ 56 ] with the permission of the publisher. …”
Section: Figurementioning
confidence: 99%
“…In order to solve the issue of writing code for a particular program to be used in the food quality inspection, fuzzy logic saves the time and effort related to the feature specification. New technologies have been established based on fuzzy logic applications in various food quality detection including sorting of orange (Jhawar, 2016), determination of moisture content in olive oil (Ortega et al, 2016), guava grading based on ripening stages (Kanade & Shaligram, 2018), and maturity estimation of bell peppers (Villaseñor-Aguilar et al, 2020). Kanade and Shaligram (2018) integrated the electronic nose sensor with fuzzy logic to classify guava according to the maturity levels.…”
Section: Fuzzy Logicmentioning
confidence: 99%