Apples represent an important part of healthy diets and have a large commercial share. They are often marketed as ready-to-eat pieces inside proper packaging. The non-destructive and contactless assessment of their quality, in terms of both visual appearance and internal characteristics, is an open issue especially on fresh-cut packaged products (Cavallo et al. 2018). Computer vision systems (CVSs) represent a powerful tool to provide fast, objective, non-destructive and contactless evaluation of fruit and they have proved to be effective even through the packaging under proper design of the processing component (Palumbo et al. 2023). Marketing and consumers’ acceptance of fresh-cut apples strongly correlate to the browning of the pulp. The robust application of CVS to evaluate quality and internal properties of apples requires the identification and selection of regions corresponding to pulp inside the images to minimizes the interferences of other parts of the fruit on the performance of classification or regression modules (Vadukkal, Palumbo and Attolico, 2023).

Effects of the storage at different temperatures on postharvest quality of Citrus medica L. (cv. Liscia-diamante)

Laura Quintieri
;
Ilde Ricci;Francesco Siano;Michela Palumbo;Bernardo Pace;William Schirinzi;Anna Luparelli;Rosaria Cozzolino;Leonardo Caputo;Maria Cefola
2025

Abstract

Apples represent an important part of healthy diets and have a large commercial share. They are often marketed as ready-to-eat pieces inside proper packaging. The non-destructive and contactless assessment of their quality, in terms of both visual appearance and internal characteristics, is an open issue especially on fresh-cut packaged products (Cavallo et al. 2018). Computer vision systems (CVSs) represent a powerful tool to provide fast, objective, non-destructive and contactless evaluation of fruit and they have proved to be effective even through the packaging under proper design of the processing component (Palumbo et al. 2023). Marketing and consumers’ acceptance of fresh-cut apples strongly correlate to the browning of the pulp. The robust application of CVS to evaluate quality and internal properties of apples requires the identification and selection of regions corresponding to pulp inside the images to minimizes the interferences of other parts of the fruit on the performance of classification or regression modules (Vadukkal, Palumbo and Attolico, 2023).
2025
Istituto di Scienze delle Produzioni Alimentari - ISPA
Istituto di Scienze delle Produzioni Alimentari - ISPA - Sede Secondaria di Foggia
Istituto di Scienze dell'Alimentazione - ISA
Non-destructive quality assessment, computer vision system, fresh-cut apples, segmentation approach, shelf life prediction
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/555510
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