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Analysis of institutional authors

Valero, CAuthorDiezma, BAuthor

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April 19, 2021
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Article

A Model Based on Clusters of Similar Color and NIR to Estimate Oil Content of Single Olives

Publicated to: Foods. 10 (3): 609- - 2021-03-01 10(3), DOI: 10.3390/foods10030609

Authors:

Fredes, Claudio; Valero, Constantino; Diezma, Belen; Mora, Marco; Naranjo-Torres, Jose; Wilson, Manuel; Delgadillo, Gabriel
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Affiliations

Univ Catolica Maule, Dept Agr Sci, Curico 3480112, Chile - Author
Univ Catolica Maule, Fac Engn Sci, Dept Comp Sci & Ind, Talca 3480112, Chile - Author
Univ Catolica Maule, Fac Engn Sci, Lab Technol Res Pattern Recognit, Talca 3480112, Chile - Author
Univ Politecn Madrid, ETSIAAB, Lab Propiedades Fisicas LPF TRAGRALIA, Madrid 28040, Spain - Author
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Abstract

Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), this study grouped olives with similar color and NIR for building EM of oil content obtained by Soxhlet from a cluster of similar olives. The objective was to estimate OC of individual olives, based on clusters of similar color and NIR in two seasons. This study was performed with Arbequina olives in 2016 and 2017. The descriptor of the cluster consisted of the three color channels of c1c2c3 color model plus 11 reflectance points between 1710 and 1735 nm of each olive, normalized with the Z-score index. Clusters of similar color and NIR spectrum were formed with the k-means++ algorithm, leaving a sufficient number of olives to perform the Soxhlet analysis of OC, as reference value of EM. The training of EM was based on Support Vector Machine. The test was performed with Leave One-Out Cross Validation in different training-testing combinations. The best EM predicted the OC with 6 and 13% deviation with respect to the real value when one season was tested with itself and with another season, respectively. The use of clustering in EM is discussed.
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Keywords

Infrared spectroscopyOlive qualitySupport vector machineVisible image

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Foods due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 35/144, thus managing to position itself as a Q1 (Primer Cuartil), in the category Food Science & Technology.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-12-21:

  • WoS: 3
  • Scopus: 7
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-21:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 6.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 6 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 4.
  • The number of mentions on the social network X (formerly Twitter): 6 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/66395/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 285
  • Downloads: 211
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Chile.

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Awards linked to the item

This research was funded by the foundation for the Promotion of Scientific and Technological Development (Fondo de Fomento al Desarrollo Cientifico y Tecnologico) from the National Agency of Investigation and Development, Chile, grant number ID15I10142 Estimacion del contenido de Aceite en Olivas en base a tecnologias no destructives. Partial funding was received from the Universidad Politecnica de Madrid, cooperation grant AL14-PID-11 Estimacion de calidad y contenido en aceite de aceitunas mediante procedimientos opticos VIS y NIR.
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