An overview of non-destructive technologies for postharvest quality assessment in horticultural crops

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dc.contributor.authorO’Brien, Ciara
dc.contributor.authorAlamar, M. Carmen
dc.date.accessioned2025-05-09T10:39:29Z
dc.date.available2025-05-09T10:39:29Z
dc.date.freetoread2025-05-09
dc.date.issued2025
dc.date.pubOnline2025-04-14
dc.description.abstractArtificial intelligence and machine vision are increasingly popular within food supply chains for automated decision making in quality grading and disease identification. There are many types of data that these models can be trained on, and choosing which information is needed is a critical factor in minimising both food loss and cost, while maximising the impact on food quality. Non-destructive technologies give information about crop phenotypes (e.g. external colour, oil content, sweetness) without damaging the crop, allowing a greater and more representative proportion the stored food to be analysed. These non-destructive technologies use different methods to analyse the product, each with different intrinsic capabilities and limitations. Therefore, choosing which technology is most appropriate for each application is a complex and costly decision. This mini-review summarises the physical and chemical basis of how some popular non-destructive technologies function, and how these different methods give unique advantages and limitations. The most popular technologies summarised include Red-Green-Blue (RGB) imaging, visible and near-infrared spectroscopy, and vibrometry. We also review technologies that are growing in popularity, including X-ray imaging, ultraviolet spectroscopy, and magnetic resonance imaging.
dc.description.journalNameThe Journal of Horticultural Science and Biotechnology
dc.description.sponsorshipThis work was funded by Orchard House Foods Ltd. andCranfield University through the Cranfield IndustrialPartnership PhD Scheme.
dc.format.extentpp. xx-xx
dc.identifier.citationO’Brien C, Alamar MC. (2025) An overview of non-destructive technologies for postharvest quality assessment in horticultural crops. The Journal of Horticultural Science and Biotechnology, Available online 14 April 2025
dc.identifier.eissn2380-4084
dc.identifier.elementsID672889
dc.identifier.issn1462-0316
dc.identifier.issueNoahead-of-print
dc.identifier.urihttps://doi.org/10.1080/14620316.2025.2489974
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23875
dc.identifier.volumeNoahead-of-print
dc.languageEnglish
dc.language.isoen
dc.publisherTaylor & Francis
dc.publisher.urihttps://www.tandfonline.com/doi/full/10.1080/14620316.2025.2489974
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSpectroscopy
dc.subjectvibrometry
dc.subjectimaging
dc.subjectfood loss
dc.subjectcrop quality
dc.titleAn overview of non-destructive technologies for postharvest quality assessment in horticultural crops
dc.typeArticle
dc.type.subtypeReview
dcterms.dateAccepted2025-04-02

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