Publication:
Estimation of Chlorophyll Concentration Index at Leaves Using Artificial Neural Networks

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dc.authorscopusid21743556600
dc.authorscopusid25651919200
dc.authorscopusid35781802800
dc.authorscopusid24474284100
dc.contributor.authorOdabaş, M.S.
dc.contributor.authorŞenyer, N.
dc.contributor.authorKayhan, Gokhan
dc.contributor.authorErgün, E.
dc.date.accessioned2020-06-21T13:26:47Z
dc.date.available2020-06-21T13:26:47Z
dc.date.issued2017
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Odabaş] Mehmet Serhat, Vocational High School of Bafra, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Şenyer] Nurettin, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kayhan] Gökhan, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Ergün] Erhan, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractIn this study, the effectiveness of an SPAD-502 portable chlorophyll (Chl) meter was evaluated for estimating the Chl contents in leaves of some medicinal and aromatic plants. To predict the individual chlorophyll concentration indexes of St. John's wort (Hypericum perforatum L.), mint (Mentha angustifolia L.), melissa (Melissa officinalis L.), thyme (Thymus sp.), and echinacea (Echinacea purpurea L.), models were developed using SPAD value. Multi-layer perceptron (MLP), adaptive neuro fuzzy inference system (ANFIS), and general regression neural network (GRNN) were used for determining the chlorophyll concentration indexes. © 2017 World Scientific Publishing Company.en_US
dc.identifier.doi10.1142/S0218126617500268
dc.identifier.issn0218-1266
dc.identifier.issn1793-6454
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84986557860
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1142/S0218126617500268
dc.identifier.volume26en_US
dc.identifier.wosWOS:000387907500009
dc.identifier.wosqualityQ4
dc.language.isoenen_US
dc.publisherWorld Scientific Publishing Co. Pte Ltd wspc@wspc.com.sgen_US
dc.relation.ispartofJournal of Circuits Systems and Computersen_US
dc.relation.journalJournal of Circuits Systems and Computersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANFISen_US
dc.subjectArtificial Neural Networken_US
dc.subjectGRNNen_US
dc.subjectMedicinal and Aromatic Plantsen_US
dc.subjectMLPen_US
dc.subjectSPADen_US
dc.titleEstimation of Chlorophyll Concentration Index at Leaves Using Artificial Neural Networksen_US
dc.typeArticleen_US
dspace.entity.typePublication

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