Articles producció científica> Química Analítica i Química Orgànica

Analysing olive ripening with digital image RGB histograms

  • Datos identificativos

    Identificador: imarina:9331010
    Autores:
    Ezenarro, JGarcía-Pizarro, ABusto, Ode Juan, ABoqué, R
    Resumen:
    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.
  • Otros:

    Código de proyecto: PID2019-104269RR-C33 / AEI / 10.13039/501100011033
    Palabras clave: Pls Pca Multivariate curve resolution Mcr-als Maturity index Fruit Chemometrics assisted colour histogram-based analytical systems (cachas) Cell phone
    Fecha de alta del registro: 2024-11-16
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Analytica Chimica Acta. 1280 341884-
    Referencia de l'ítem segons les normes 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
    Acrónimo: ALLFRUIT4ALL
    Tipo de publicación: Journal Publications
    Código de projecto 3: 2020PMF-PIPF-6
    Código de proyecto 4: 2021PMF-BS-12
    Autor según el artículo: Ezenarro, J; García-Pizarro, A; Busto, O; de Juan, A; Boqué, R
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Boqué Martí, Ricard / Busto Busto, Olga / EZENARRO GARATE, JOKIN / García Pizarro, Ángel
    Resumen: 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.
    Áreas temáticas: 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
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Acción del programa de financiación 4: Universitat Rovira i Virgili - Banco Santander
    Direcció de correo del autor: jokin.ezenarro@urv.cat jokin.ezenarro@urv.cat angel.garciap@estudiants.urv.cat ricard.boque@urv.cat olga.busto@urv.cat
    Identificador del autor: 0000-0001-9234-7877 0000-0001-9234-7877 0000-0001-7311-4824 0000-0002-2318-6800
    Acción del programa de financiació 3: Ayudas de apoyo a departamentos y unidades de investigación universitarios para la contratación de personal investigador predoctoral en formación (FI SDUR 2020)
    Codigo del proyecto 2: PID2019-1071586B-IOO
    Programa de financiación 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
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0003267023011054?via%3Dihub
    Programa de financiación: 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
    Programa de financiación 4: Contratos de personal investigador predoctoral en formación
    Programa de financiación 3: Universitat Rovira i Virgili - Institut de Recerca i Tecnologia Agroalimentaries
    DOI del artículo: 10.1016/j.aca.2023.341884
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2023
    Acción del progama de financiación: Ciencias y tecnologías de alimentos
  • Palabras clave:

    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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