Evaluation of different sensing approaches concerning to nondestructive estimation of leaf area index (LAI) for winter wheat

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dc.bibliographicCitation.firstPage337eng
dc.bibliographicCitation.issue1eng
dc.bibliographicCitation.volume7eng
dc.contributor.authorTavakoli, H.
dc.contributor.authorMohtasebi, S.S.
dc.contributor.authorAlimardani, R.
dc.contributor.authorGebbers, R.
dc.date.accessioned2020-10-28T14:52:56Z
dc.date.available2020-10-28T14:52:56Z
dc.date.issued2017
dc.description.abstractDifferent approaches of non-destructive estimation of the LAI in winter wheat were compared. Plant height had weak relation with the LAI, while estimated biomass showed high logarithmic relationship (R2=0.839). NDRE and REIP were logarithmically well related to the LAI (R2=0.726 and 0.779 respectively). Saturation effect of NDRE and REIP was less than NDVI. Some RGB-based indices also showed good potential to estimate the LAI. Among the indices, Gm, GMB, RMB, and NRMB were better related to the LAI. The results indicated that digital cameras can be used as an affordable and simple approach for assessment of the LAI of crops.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/5868
dc.identifier.urihttps://doi.org/10.34657/4497
dc.language.isoengeng
dc.publisherAuckland : Massey Universityeng
dc.relation.doihttps://doi.org/10.21307/ijssis-2017-659
dc.relation.ispartofseriesInternational Journal on Smart Sensing and Intelligent Systems 7 (2014), Nr. 1eng
dc.relation.issn1178-5608
dc.rights.licenseCC BY-NC-ND 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.subjectDigital cameraeng
dc.subjectLeaf area index (LAI)eng
dc.subjectPlant heighteng
dc.subjectPrecision agricultureeng
dc.subjectVegetation indiceseng
dc.subjectDigital cameraseng
dc.subjectPrecision agricultureeng
dc.subjectVideo cameraseng
dc.subjectLeaf Area Indexeng
dc.subjectLogarithmic relationshipeng
dc.subjectNon destructiveeng
dc.subjectPlant heighteng
dc.subjectSaturation effectseng
dc.subjectSimple approacheng
dc.subjectVegetation indexeng
dc.subjectWinter wheateng
dc.subjectCropseng
dc.subject.ddc620eng
dc.titleEvaluation of different sensing approaches concerning to nondestructive estimation of leaf area index (LAI) for winter wheateng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleInternational Journal on Smart Sensing and Intelligent Systemseng
tib.accessRightsopenAccesseng
wgl.contributorATBeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng
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