Publication:

Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress

 
dc.contributor.authorAsaari, Mohd Shahrimie Mohd
dc.contributor.authorMertens, Stien
dc.contributor.authorVerbraeken, Lennart
dc.contributor.authorDhondt, Stijn
dc.contributor.authorInze, Dirk
dc.contributor.authorKoirala, Bikram
dc.contributor.authorScheunders, Paul
dc.contributor.imecauthorAsaari, Mohd Shahrimie Mohd
dc.contributor.imecauthorKoirala, Bikram
dc.contributor.imecauthorScheunders, Paul
dc.contributor.orcidimecKoirala, Bikram::0000-0002-8887-8197
dc.contributor.orcidimecScheunders, Paul::0000-0003-2447-4772
dc.date.accessioned2022-05-05T09:55:01Z
dc.date.available2022-04-28T02:12:57Z
dc.date.available2022-05-05T09:55:01Z
dc.date.issued2022
dc.description.wosFundingTextThis study has been conducted by a research collaboration between Imec-Vision Lab and VIB-UGent Center for Plant Systems Biology, and was funded by BASF, Hercules Foundation (ZW1101), and the "Bijzonder Onderzoeksfonds Methusalem Project" (No. BOFMET201 5000201) of Ghent University. The authors also fully acknowledged Ministry of Higher Education Malaysia (MOHE) for Fundamental Research Grant Scheme with Project Code: FRGS/1/2020/TK0/USM/02/13 and Universiti Sains Malaysia for supporting Mohd Shahrimie Mohd Asaari.
dc.identifier.doi10.1016/j.compag.2022.106806
dc.identifier.issn0168-1699
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39698
dc.publisherELSEVIER SCI LTD
dc.source.beginpage106806
dc.source.issuena
dc.source.journalCOMPUTERS AND ELECTRONICS IN AGRICULTURE
dc.source.numberofpages13
dc.source.volume195
dc.subject.keywordsWATER-STRESS
dc.subject.keywordsGAUSSIAN-PROCESSES
dc.subject.keywordsMAIZE PLANTS
dc.subject.keywordsCHLOROPHYLL FLUORESCENCE
dc.subject.keywordsSPECTRAL REFLECTANCE
dc.subject.keywordsGAS-EXCHANGE
dc.subject.keywordsLEAF
dc.subject.keywordsRETRIEVAL
dc.subject.keywordsREGRESSION
dc.subject.keywordsNITROGEN
dc.title

Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress

dc.typeJournal article
dspace.entity.typePublication
Files
Publication available in collections: