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Monocular ground surface estimation for precision farming

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dc.contributor.authorStollmeier, Frank
dc.contributor.authorWill, Jens Christian
dc.contributor.authorHomann, Hanno
dc.contributor.editorDörr, Jörg
dc.contributor.editorSteckel, Thilo
dc.date.accessioned2025-02-04T14:38:02Z
dc.date.available2025-02-04T14:38:02Z
dc.date.issued2025
dc.description.abstractIn precision farming, detecting the ground surface is crucial for optimizing different processes, such as sowing, weeding, and growth monitoring. This research introduces a method to estimate the ground surface using a single monocular RGB camera, which is both cost-effective and simple. The camera captures overlapping images as it moves along the field, and feature points from these images are matched to create a 3D point cloud. Points are classified as ground or plant using the Triangular Greenness Index (TGI), allowing the filtering of plants to isolate the ground. The proposed method is validated quantitatively in comparison with a stereo camera.en
dc.identifier.doi10.18420/giljt2025_48
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-802-6
dc.identifier.pissn2944-7682
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45708
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof45. GIL-Jahrestagung, Digitale Infrastrukturen für eine nachhaltige Land-, Forst- und Ernährungswirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics(LNI) - Proceedings, Volume P - 358
dc.subjectmonocular camera
dc.subjectground surface estimation
dc.subjectprecision farming
dc.subjectfeature matching
dc.titleMonocular ground surface estimation for precision farmingen
dc.typeText/Conference Paper
gi.citation.endPage398
gi.citation.publisherPlaceBonn
gi.citation.startPage393
gi.conference.date25/26. Februar 2025
gi.conference.locationWieselburg, Austria
gi.conference.reviewfull

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P358 - 45. GIL-Jahrestagung 2025 - Fokus: Digitale Infrastrukturen für eine nachhaltige Land-, Forst- und Ernährungswirtschaft