The prediction of iron contents in orchards using VNIR spectroscopy

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dc.contributor.authorBaşayiğit, Levent
dc.contributor.authorDedeoğlu, Mert
dc.contributor.authorAkgül, Hüseyin
dc.date.accessioned2020-03-26T19:07:37Z
dc.date.available2020-03-26T19:07:37Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study investigated the possibility of determining iron deficiency in orchard leaves using visible/near-infrared methods. Sampling was performed in 24 different healthy orchards (apple, cherry, and peach trees) grouped depending on the severity of iron deficiency. The study was conducted on a total of 120 plant samples including 40 apple, 40 cherry, and 40 peach trees. Spectral reflectance of leaves was measured with a FieldSpec HandHeld spectroradiometer (ASD Inc.) using a plant probe and a leaf clip. Total and active iron contents of leaves in the same samples were determined. Derivative graphs were drawn for the measured spectral curves. Stepwise multiple linear regression analysis was used to model the total and active iron levels selected from spectral reflectance values and derivative curves. Mathematical estimation models with the highest relationship were established. Wavelengths between 540 nm and 560 nm (visible green) and 990 nm and 1010 nm (near infrared) were found to indicate the active iron levels in apple, cherry, and peach trees. The coefficients of accuracy for active iron content were found to be as follows: apple 76.70%, cherry 75.28%, and peach 78.69%. The total iron content was found to be as follows: cherry 63.25%, peach 59.65%, and apple 75.08%. The selected wavelengths produced higher estimation values for the determination of active iron than those for total iron because total iron content affected different regions of the electromagnetic spectrum.en_US
dc.identifier.doi10.3906/tar-1406-33en_US
dc.identifier.endpage134en_US
dc.identifier.issn1300-011Xen_US
dc.identifier.issn1303-6173en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage123en_US
dc.identifier.urihttps://dx.doi.org/10.3906/tar-1406-33
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32675
dc.identifier.volume39en_US
dc.identifier.wosWOS:000346850400015en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF AGRICULTURE AND FORESTRYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSpectroradiometeren_US
dc.subjecthyperspectral sensingen_US
dc.subjectvisible near infrareden_US
dc.subjectnutrient deficiencyen_US
dc.subjectactive ironen_US
dc.titleThe prediction of iron contents in orchards using VNIR spectroscopyen_US
dc.typeArticleen_US

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