Articles producció científica> Química Analítica i Química Orgànica

Analysing olive ripening with digital image RGB histograms

  • Identification data

    Identifier: imarina:9331010
  • Authors:

    Ezenarro, J
    García-Pizarro, A
    Busto, O
    de Juan, A
    Boqué, R
  • Others:

    Project code: PID2019-104269RR-C33 / AEI / 10.13039/501100011033
    Keywords: Pls Pca Multivariate curve resolution Mcr-als Maturity index Fruit Chemometrics assisted colour histogram-based analytical systems (cachas) Cell phone
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Analytica Chimica Acta. 1280 341884-
    APA: Ezenarro, J; García-Pizarro, A; Busto, O; de Juan, A; Boqué, R (2023). Analysing olive ripening with digital image RGB histograms. Analytica Chimica Acta, 1280(), 341884-. DOI: 10.1016/j.aca.2023.341884
    Acronym: ALLFRUIT4ALL
    Publication Type: Journal Publications
    Project code 3: 2020PMF-PIPF-6
    Project code 4: 2021PMF-BS-12
    Author, as appears in the article.: Ezenarro, J; García-Pizarro, A; Busto, O; de Juan, A; Boqué, R
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Boqué Martí, Ricard / Busto Busto, Olga / EZENARRO GARATE, JOKIN / García Pizarro, Ángel
    Abstract: Digital images are commonly used to monitor processes that are based on colour changes due to their simplicity and easy capture. Colour information in these images can be analysed objectively and accurately using colour histograms. One such process is olive ripening, which is characterized by changes in chemical composition, sensory properties and can be followed by changes in physical appearance, mainly colour. The reference method to quantify the ripeness of olives is the Maturity Index (MI), which is determined by trained experts assigning individual olives into a colour scale through visual inspection. Instead, this study proposes a methodology based on Chemometrics Assisted Colour Histogram-based Analytical Systems (CACHAS) to automatically assess the MI of olives based on R, G, and B colour histograms derived from digital images. The methodology was shown to be easily transferable for routine analysis and capable of controlling the ripening of olives. The study also confirms the high potential of digital images to understand the ripening process of olives (and potentially other fruits) and to predict the MI with satisfactory accuracy, providing an objective and reproducible alternative to visual inspection of trained experts.
    Thematic Areas: Spectroscopy Química Odontología Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências General medicine Farmacia Environmental chemistry Engenharias iv Engenharias iii Engenharias ii Enfermagem Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Biodiversidade Biochemistry Astronomia / física Analytical chemistry
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Founding program action 4: Universitat Rovira i Virgili - Banco Santander
    Author's mail: angel.garcia@urv.cat jokin.ezenarro@urv.cat jokin.ezenarro@urv.cat angel.garcia@urv.cat ricard.boque@urv.cat olga.busto@urv.cat
    Author identifier: 0000-0001-9234-7877 0000-0001-9234-7877 0000-0001-7311-4824 0000-0002-2318-6800
    Founding program action 3: Ayudas de apoyo a departamentos y unidades de investigación universitarios para la contratación de personal investigador predoctoral en formación (FI SDUR 2020)
    Project code 2: PID2019-1071586B-IOO
    Founding program 2: Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i y de I+D+i Orientada a los Retos de la Sociedad. Proyectos de I+D+i Retos Investigación 2017-2020
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0003267023011054?via%3Dihub
    Funding program: Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i y de I+D+i Orientada a los Retos de la Sociedad. Proyectos de I+D+i Retos Investigación 2017-2020
    Founding program 4: Contratos de personal investigador predoctoral en formación
    Founding program 3: Universitat Rovira i Virgili - Institut de Recerca i Tecnologia Agroalimentaries
    Article's DOI: 10.1016/j.aca.2023.341884
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Funding program action: Ciencias y tecnologías de alimentos
  • Keywords:

    Analytical Chemistry,Biochemistry,Chemistry, Analytical,Environmental Chemistry,Spectroscopy
    Pls
    Pca
    Multivariate curve resolution
    Mcr-als
    Maturity index
    Fruit
    Chemometrics assisted colour histogram-based analytical systems (cachas)
    Cell phone
    Spectroscopy
    Química
    Odontología
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    General medicine
    Farmacia
    Environmental chemistry
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Enfermagem
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Chemistry, analytical
    Biotecnología
    Biodiversidade
    Biochemistry
    Astronomia / física
    Analytical chemistry
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