Publication:
On-line Vis-Nir sensor determination of soil variations of sodium, potassium and magnesium

dc.contributor.authorMouazen, Abdul M.
dc.contributor.authorGolabi, M. H.
dc.contributor.buuauthorTekin, Yücel
dc.contributor.buuauthorTümsavaş, Zeynal
dc.contributor.buuauthorUlusoy, Yahya
dc.contributor.departmentTeknik Bilimler Meslek Yüksekokulu
dc.contributor.departmentZiraat Fakültesi
dc.contributor.researcheridAAG-6056-2021
dc.contributor.researcheridJ-3560-2012
dc.contributor.scopusid15064756600
dc.contributor.scopusid6507710594
dc.contributor.scopusid6508189419
dc.date.accessioned2023-04-06T06:02:38Z
dc.date.available2023-04-06T06:02:38Z
dc.date.issued2016
dc.descriptionBu çalışma, Temmuz 23-26, 2016 tarihlerinde Shanghai[Çin]’da düzenlenen 2. International Conference on Agricultural and Biological Sciences (ABS) Kongresi‘nde bildiri olarak sunulmuştur.
dc.description.abstractAmong proximal measurement methods, visible and near infrared (Vis-Nir) spectroscopy probably has the greatest potential for determining the physico-chemical properties of different natural resources, including soils. This study was conducted to determine the sodium, potassium and magnesium variations in a 10. Ha field located in Karacabey district (Bursa Province, Turkey) using an on-line Vis-Nir sensor. A total of 92 soil samples were collected from the field. The performance and accuracy of the Na, K and Mg calibration models was evaluated in cross-validation and independent validation. Three categories of maps were developed: 1) reference laboratory analyses maps based on 92 points 2) Full-data point maps based on all 6486 on-line points Vis-Nir predicted in 2013 and 3) full-data point maps based on all 2496 on-line points Vis-Nir predicted in 2015. Results showed that the prediction performance in the validation set was successful, with average R2 values of 0.82 for Na, 0.70 for K, and 0.79 for Mg, average root mean square error of prediction (RMSEP) values of 0.02% (Na), 0.20% (K), and 1.32% (Mg) and average residual prediction deviation (RPD) values of 2.13 (Na), 0.97 (K), and 2.20 (Mg). On-line field measurement was also proven to be successful with validation results showing average R2 values of 0.78 (Na), 0.64 (K), and 0.60 (Mg), average RMSEP values of 0.04% (Na), 0.13% (K), and 2.19% (Mg) and average RPD values of 1.57 (Na) 1.68 (K) and 1.56 (Mg). Based on 3297 points, maps of Na, K and Mg were produced after N, P, K and organic fertilizer applications, and these maps were then compared to the corresponding maps from the previous year. The comparison showed a variation in soil properties that was attributed to the variable rate of fertilization implemented in the preceding year.
dc.description.sponsorshipFarmFUSE - ICT-AGRI - ERA-NET
dc.description.sponsorshipEuropean Commission under the 7. Framework Programme
dc.description.sponsorshipUK Department of - Environment, Food and Rural Affairs - IF0208
dc.identifier.citationTekin, Y. vd. (2016). "On-line Vis-Nir sensor determination of soil variations of sodium, potassium and magnesium". ed. Golabi, M. H. IOP Conference Series: Earth and Environmental Science, 2nd International Conference on Agricultural and Biological Sciences, ABS 2016, 41(1).
dc.identifier.issn1755-1307
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84998673827
dc.identifier.urihttps://doi.org/10.1088/1755-1315/41/1/012011
dc.identifier.urihttps://iopscience.iop.org/article/10.1088/1755-1315/41/1/012011
dc.identifier.urihttp://hdl.handle.net/11452/32206
dc.identifier.volume41
dc.identifier.wos000389919500011
dc.indexed.wosCPCIS
dc.language.isoen
dc.publisherIOP Publishing
dc.relation.collaborationYurt dışı
dc.relation.journalIOP Conference Series: Earth and Environmental Science, 2nd International Conference on Agricultural and Biological Sciences, ABS 2016
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası
dc.relation.tubitak112O471
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEnvironmental sciences & ecology
dc.subjectAgriculture
dc.subjectNear-infrared-spectroscopy
dc.subjectReflectance spectroscopy
dc.subjectLeast-squares
dc.subjectPerformance
dc.subjectPrediction
dc.subjectComponents
dc.subjectRegression
dc.subjectAccuracy
dc.subjectPlants
dc.subjectBursa [Turkey]
dc.subjectTurkey
dc.subjectAgriculture
dc.subjectCalibration
dc.subjectFertilizers
dc.subjectForecasting
dc.subjectInfrared devices
dc.subjectMagnesium
dc.subjectMean square error
dc.subjectPotassium
dc.subjectSoil surveys
dc.subjectSoils
dc.subjectLaboratory analysis
dc.subjectOrganic fertilizers
dc.subjectPhysicochemical property
dc.subjectPrediction performance
dc.subjectProximal measurement
dc.subjectRoot-mean-square error of predictions
dc.subjectValidation results
dc.subjectVisible and near infrared
dc.subjectAccuracy assessment
dc.subjectFertilizer application
dc.subjectLaboratory method
dc.subjectMagnesium
dc.subjectMeasurement method
dc.subjectModel validation
dc.subjectNatural resource
dc.subjectNear infrared
dc.subjectPerformance assessment
dc.subjectPhysicochemical property
dc.subjectPotassium
dc.subjectSensory system
dc.subjectSodium
dc.subject.scopusSoil Color; Near-Infrared Spectroscopy; Hyperspectral
dc.subject.wosEnvironmental sciences
dc.subject.wosSoil science
dc.titleOn-line Vis-Nir sensor determination of soil variations of sodium, potassium and magnesium
dc.typeProceedings Paper
dspace.entity.typePublication
local.contributor.departmentTeknik Bilimler Meslek Yüksekokulu
local.contributor.departmentZiraat Fakültesi
local.indexed.atScopus
local.indexed.atWOS

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