Growth Height Determination of Tree Walls for Precise Monitoring in Apple Fruit Production Using UAV Photogrammetry

dc.contributor.authorHobart, Marius
dc.contributor.authorPflanz, Michael
dc.contributor.authorWeltzien, Cornelia
dc.contributor.authorSchirrmann, Michael
dc.date.accessioned2020-11-18T14:30:32Z
dc.date.available2020-11-18T14:30:32Z
dc.date.issued2020-05-21
dc.date.updated2020-06-10T22:59:21Z
dc.description.abstractIn apple cultivation, spatial information about phenotypic characteristics of tree walls would be beneficial for precise orchard management. Unmanned aerial vehicles (UAVs) can collect 3D structural information of ground surface objects at high resolution in a cost-effective and versatile way by using photogrammetry. The aim of this study is to delineate tree wall height information in an apple orchard applying a low-altitude flight pattern specifically designed for UAVs. This flight pattern implies small distances between the camera sensor and the tree walls when the camera is positioned in an oblique view toward the trees. In this way, it is assured that the depicted tree crown wall area will be largely covered with a larger ground sampling distance than that recorded from a nadir perspective, especially regarding the lower crown sections. Overlapping oblique view images were used to estimate 3D point cloud models by applying structure-from-motion (SfM) methods to calculate tree wall heights from them. The resulting height models were compared with ground-based light detection and ranging (LiDAR) data as reference. It was shown that the tree wall profiles from the UAV point clouds were strongly correlated with the LiDAR point clouds of two years (2018: R2 = 0.83; 2019: R2 = 0.88). However, underestimation of tree wall heights was detected with mean deviations of −0.11 m and −0.18 m for 2018 and 2019, respectively. This is attributed to the weaknesses of the UAV point clouds in resolving the very fine shoots of apple trees. Therefore, the shown approach is suitable for precise orchard management, but it underestimated vertical tree wall expanses, and widened tree gaps need to be accounted for.en
dc.description.sponsorshipBMEL, 2814903915, Verbundprojekt: Entwicklung einer flugrobotergestützten Expertenplattform für einen präzisen Pflanzenschutz im Erwerbsobstbau (Corona-PRO) - Teilprojekt 1en
dc.identifier.eissn2072-4292
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12004
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-10884
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otheroblique viewen
dc.subject.otherstructure from motion (SfM)en
dc.subject.other3D point clouden
dc.subject.otherunmanned aerial vehicle (UAV)en
dc.subject.otherLiDARen
dc.subject.othersite-specificen
dc.subject.otherprecision fruticultureen
dc.subject.otherorcharden
dc.subject.otherapple treesen
dc.titleGrowth Height Determination of Tree Walls for Precise Monitoring in Apple Fruit Production Using UAV Photogrammetryen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber1656en
dcterms.bibliographicCitation.doi10.3390/rs12101656en
dcterms.bibliographicCitation.issue10en
dcterms.bibliographicCitation.journaltitleRemote Sensingen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume12en
tub.accessrights.dnbfreeen
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Maschinenkonstruktion und Systemtechnik::FG Agromechatronikde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Agromechatronikde
tub.affiliation.instituteInst. Maschinenkonstruktion und Systemtechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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