REFLECTANCE-BASED SENSOR TO PREDICT VISUAL QUALITY RATINGS OF TURFGRASS PLOTS

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dc.authoridKeskin, Muharrem/0000-0002-2649-6855
dc.contributor.authorKeskin, M.
dc.contributor.authorHan, Y. J.
dc.contributor.authorDodd, R. B.
dc.contributor.authorKhalilian, A.
dc.date.accessioned2024-09-18T21:00:25Z
dc.date.available2024-09-18T21:00:25Z
dc.date.issued2008
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractTurfgrass quality is visually evaluated by human assessors based on a settle of 1 to 9. This evaluation practice is subjective and does not provide accurate and reproducible measure of the turf quality. The aim of this research was to design a portable optical sensor to predict the quality ratings of turfgrass research plots from spectral reflectance. Reflectance data were collected using a dual spectroradiometer covering a spectrum of 350-1050 nm front bermudagrass and bluegrass research plots. Two different regression methods, Multiple Linear Regression (MLR) and Partial Least Squares Regression (PLSR), were used and compared. Two wavelength bands centered at 680 nm (Red) and 780 nm (NIR) were identified since these bands carry useful information in the prediction of turfgrass visual quality The average Standard Error of Cross Validation (SECV) was found to be about 0.76 and 0.88 by using the model with Red and NIR bands for bermudagrass and bluegrass data sets, respectively. A simple prototype sensor using the two identified bands was fabricated and tested. The prototype sensor predicted the visual quality ratings as well as the spectroradiometer with a SECV of about 0.57 using two bands.en_US
dc.description.sponsorshipDepartment of Education of the Republic of Turkeyen_US
dc.description.sponsorshipThe authors would like to thank the Department of Education of the Republic of Turkey for its partial financial support for this study. The authors also gladly appreciate the help from Mr. Todd B. Bunnell, Mr. Brian Tucker, and Mr. Matthew F. Gregg of the Department of Horticulture at Clemson University in the assessment of the vistral quality of the turfgrass plots.en_US
dc.identifier.endpage860en_US
dc.identifier.issn0883-8542
dc.identifier.issn1943-7838
dc.identifier.issue6en_US
dc.identifier.startpage855en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12670
dc.identifier.volume24en_US
dc.identifier.wosWOS:000261937800016en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAmer Soc Agricultural & Biological Engineersen_US
dc.relation.ispartofApplied Engineering in Agricultureen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTurfgrassen_US
dc.subjectVisual quality assessmenten_US
dc.subjectDual spectroradiometeren_US
dc.subjectSensoren_US
dc.subjectSpectral reflectanceen_US
dc.titleREFLECTANCE-BASED SENSOR TO PREDICT VISUAL QUALITY RATINGS OF TURFGRASS PLOTSen_US
dc.typeArticleen_US

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