Investigation of N Deficiency in Cherry Trees Using Visible and Near-Infrared Spectra Part of the Spectrum in Field Condition

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dc.contributor.authorBaşayiğit, Levent
dc.contributor.authorDedeoğlu, Mert
dc.contributor.authorAkgül, Hüseyin
dc.contributor.authorUcgun, Kadir
dc.contributor.authorAltındal, Mesut
dc.date.accessioned2020-03-26T19:41:56Z
dc.date.available2020-03-26T19:41:56Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis objective of the study was to develop a model for the determination of N deficiency in cherry trees using a combination of visible near infrared methods and spectro-radiometric measurement. In our experimental design, cherry seedlings were grown under various N deficiency conditions in nutrient-controlled containers. The reflectance values of plant leaves were measured using a spectro-radiometer. Plant leaves samples were simultaneously collected. Their nutrient contents were determined in the laboratory. Afterwards, we performed a statistical comparison of the reflectance values. Sample analysis results established the significant wavelengths. Moreover, we received accurate regression models for predicting N deficiency in cherry leaves that were grown in nutrient solutions. Next, we verified the model validity by measuring the reflectance of the leaves collected from cherry orchards at various locations using a spectroradiometer. Nutrient deficiencies were calculated using the developed model, and then, the predicted and measured data were compared to evaluate model validity. From these results, we determined the wavelengths that yielded the most accurate results for N prediction, selected from the blue and green regions of the spectrum. We established that for N prediction in cherry trees, the simplest model can be created using 560 and 570 nm wavelengths. However, the evaluated model can be applicable only under certain conditions. We concluded that in order to develop a prediction method with sufficient application capacity, as well as the ability to assess nutritional and physiological characteristics, the ecology condition of the plant should be properly considered based on the model.en_US
dc.description.sponsorshipScientific and Technical Research Council of Turkey, Agriculture, Forestry & Veterinary Research Grant Committee [TOVAG 109 O 376]en_US
dc.description.sponsorshipThe Scientific and Technical Research Council of Turkey, Agriculture, Forestry & Veterinary Research Grant Committee Project No TOVAG 109 O 376en_US
dc.identifier.doi10.3964/j.issn.1000-0593(2017)01-0293-06en_US
dc.identifier.endpage298en_US
dc.identifier.issn1000-0593en_US
dc.identifier.issue1en_US
dc.identifier.pmid30221903en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage293en_US
dc.identifier.urihttps://dx.doi.org/10.3964/j.issn.1000-0593(2017)01-0293-06
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35227
dc.identifier.volume37en_US
dc.identifier.wosWOS:000392359300055en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherOFFICE SPECTROSCOPY & SPECTRAL ANALYSISen_US
dc.relation.ispartofSPECTROSCOPY AND SPECTRAL ANALYSISen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectCherryen_US
dc.subjectHandheld field spectroradiometeren_US
dc.subjectHyperspectral sensingen_US
dc.subjectN deficiencyen_US
dc.subjectReflectanceen_US
dc.titleInvestigation of N Deficiency in Cherry Trees Using Visible and Near-Infrared Spectra Part of the Spectrum in Field Conditionen_US
dc.typeArticleen_US

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