Publication:

NIR hyperspectral imaging to identify damage caused by Halyomorpha halys on pears: Automated identification of Regions of Interest related to punctured areasâ

Date

2025-DEC 15
Journal article
https://doi.org/10.1016/j.saa.2025.126543
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dc.contributor.authorFerrari, Veronica
dc.contributor.authorCalvini, Rosalba
dc.contributor.authorMenozzi, Camilla
dc.contributor.authorCosti, Elena
dc.contributor.authorGiannetti, Daniele
dc.contributor.authorHoffermans, Peter
dc.contributor.authorMaistrello, Lara
dc.contributor.authorUlrici, Alessandro
dc.date.accessioned2025-06-28T03:55:59Z
dc.date.available2025-06-28T03:55:59Z
dc.date.issued2025-DEC 15
dc.description.wosFundingTextAuthors wish to thank HALY.ID, project of ERA-NET Cofund ICT-AGRI-FOOD, with funding provided by National sources (Ministero delle politiche agricole e forestali, MIPAAF) and co-funding by the European Union's Horizon 2020 research and innovation program, Grant Agreement number 862671. Dr. Rosalba Calvini and Dr. Elena Costi would like to thank the Italian funding programme Fondo Sociale Europeo REACT-EU-PON "Ricerca e Innovazione" 2014 - 2020 - Azione IV.6 Contratti di ricerca su tematiche Green (D.M. 1062 del 10/08/2021) for supporting their research (CUP: E95F21002330001) . The authors wish to express their gratitude to Dr. Niccolo Patelli (Applied Entomology Lab, UNIMORE) for the support on-field and Enrico Giovanella for the valuable technical support during the image acquisition and investigation.
dc.identifier.doi10.1016/j.saa.2025.126543
dc.identifier.issn1386-1425
dc.identifier.pmidMEDLINE:40517700
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45853
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.journalSPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
dc.source.numberofpages14
dc.source.volume343
dc.subject.keywordsMARMORATED STINK BUG
dc.subject.keywordsHEMIPTERA-PENTATOMIDAE
dc.subject.keywordsMETABOLIC-RESPONSE
dc.subject.keywordsBRUISE DETECTION
dc.subject.keywordsFRUIT
dc.subject.keywordsCLASSIFICATION
dc.subject.keywordsSEGMENTATION
dc.subject.keywordsDATASETS
dc.subject.keywordsPEACHES
dc.subject.keywordsAPPLES
dc.title

NIR hyperspectral imaging to identify damage caused by Halyomorpha halys on pears: Automated identification of Regions of Interest related to punctured areasâ

dc.typeJournal article
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