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A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops

dc.contributor.authorAdesokan, M.
dc.contributor.authorAlamu, E.O.
dc.contributor.authorOtegbayo, B.
dc.contributor.authorMaziya-Dixon, B.
dc.date.accessioned2023-05-08T09:06:23Z
dc.date.available2023-05-08T09:06:23Z
dc.date.issued2023-04-22
dc.identifier.citationAdesokan, M., Alamu, E. O., Otegbayo, B., & Maizya-Dixon, B. (2023). A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops. Applied Sciences, 13(9), 1-17.
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8164
dc.description.abstractHyperspectral imaging (HSI) is one of the most often used techniques for rapid quality evaluation for various applications. It is a non-destructive technique that effectively evaluates the quality attributes of root and tuber crops, including yam and cassava, and their food products. Hyperspectral imaging technology, which combines spectroscopy and imaging principles, has an advantage over conventional spectroscopy due to its ability to simultaneously evaluate the physical characteristics and chemical components of various food products and specify their spatial distributions. HSI has demonstrated significant potential for obtaining quick information regarding the chemical composition of the root and tuber, such as starch, protein, dry matter, amylose, and soluble sugars, as well as physical characteristics such as textural properties and water binding capacity. This review highlights the principles of near-infrared hyperspectral imaging (NIR-HSI) techniques combined with relevant image processing tools. It then provides cases of its application in determining crucial biochemical quality traits and textural attributes of roots and tuber crops, focusing on cassava and yam. The need for more information on using NIR-HSI in the quality evaluation of yam and cassava was underscored. It also presents the challenges and prospects of this technology.
dc.description.sponsorshipInternational Institute of Tropical Agriculture
dc.description.sponsorshipFrench Agricultural Research Center for International Development
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-17
dc.language.isoen
dc.subjectSpectroscopy
dc.subjectEvaluation
dc.subjectYams
dc.subjectCassava
dc.subjectBreeding
dc.subjectProcessing
dc.subjectValue Chain
dc.titleA review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops
dc.typeJournal Article
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationBowen University
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubSouthern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeNutrition and Human Health
cg.identifier.bibtexciteidADESOKAN:2023
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectNutrition
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectPost-Harvesting Technology
cg.iitasubjectValue Chains
cg.journalApplied Sciences
cg.notesOpen Access Journal; Published online: 22 Apr 2023
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.3390/app13095226
cg.iitaauthor.identifierMichael Adesokan: 0000-0002-1361-6408
cg.iitaauthor.identifierAlamu Emmanuel Oladeji: 0000-0001-6263-1359
cg.iitaauthor.identifierBusie Maziya-Dixon: 0000-0003-2014-2201
cg.futureupdate.requiredNo
cg.identifier.issue9
cg.identifier.volume13


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