Estimation of Vegetative Growth in Strawberry Plants Using Mobile LiDAR Laser Scanner

dc.bibliographicCitation.firstPage90
dc.bibliographicCitation.issue2
dc.bibliographicCitation.volume8
dc.contributor.authorSaha, Kowshik Kumar
dc.contributor.authorTsoulias, Nikos
dc.contributor.authorWeltzien, Cornelia
dc.contributor.authorZude-Sasse, Manuela
dc.date.accessioned2023-04-03T04:38:34Z
dc.date.available2023-04-03T04:38:34Z
dc.date.issued2022
dc.description.abstractMonitoring of plant vegetative growth can provide the basis for precise crop manage-ment. In this study, a 2D light detection and ranging (LiDAR) laser scanner, mounted on a linear conveyor, was used to acquire multi-temporal three-dimensional (3D) data from strawberry plants (‘Honeoye’ and ‘Malling Centenary’) 14–77 days after planting (DAP). Canopy geometrical variables, i.e., points per plant, height, ground projected area, and canopy volume profile, were extracted from 3D point cloud. The manually measured leaf area exhibited a linear relationship with LiDAR-derived parameters (R2 = 0.98, 0.90, 0.93, and 0.96 with number of points per plant, volume, height, and projected canopy area, respectively). However, the measuring uncertainty was high in the dense canopies. Particularly, the canopy volume estimation was adapted to the plant habitus to remove gaps and empty spaces in the canopy point cloud. The parametric values for maximum point to point distance (Dmax) = 0.15 cm and slice height (S) = 0.10 cm resulted in R2 = 0.80 and RMSPE = 26.93% for strawberry plant volume estimation considering actual volume measured by water displacement. The vertical volume profiling provided growth data for cultivars ‘Honeoye’ and ‘Malling Centenary’ being 51.36 cm3 at 77 DAP and 42.18 cm3 at 70 DAP, respectively. The results contribute an approach for estimating plant geometrical features and particularly strawberry canopy volume profile based on LiDAR point cloud for tracking plant growth.eng
dc.description.sponsorshipLeibniz_Fonds
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11853
dc.identifier.urihttp://dx.doi.org/10.34657/10886
dc.language.isoeng
dc.publisherBasel : MDPI
dc.relation.doihttps://doi.org/10.3390/horticulturae8020090
dc.relation.essn2311-7524
dc.relation.ispartofseriesHorticulturae : open access journal 8 (2022), Nr. 2
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectCanopy volumeeng
dc.subjectFragaria × ananassaeng
dc.subjectNon-destructiveeng
dc.subjectPoint cloudeng
dc.subjectVolume profileeng
dc.subject.ddc630
dc.subject.ddc640
dc.titleEstimation of Vegetative Growth in Strawberry Plants Using Mobile LiDAR Laser Scannereng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleHorticulturae : open access journal
tib.accessRightsopenAccess
wgl.contributorATB
wgl.subjectBiowissenschaften/Biologieger
wgl.typeZeitschriftenartikelger
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