Publication type: Conference paper
Type of review: Peer review (publication)
Title: A segmentation approach in novel real time 3D plant recognition system
Authors: Seatovic, Dejan
DOI: 10.1007/978-3-540-79547-6_35
Proceedings: Computer Vision Systems : 6th International Conference on Computer Vision Systems, ICVS 2008 Santorini, Greece, May 12-15, 2008, Proceedings
Pages: 363
Pages to: 372
Conference details: 6th International Conference on Computer Vision Systems (ICVS), Santorini, Greece, 12-15 May 2008
Issue Date: 2008
Series: Lecture Notes in Computer Science
Series volume: 4805
Publisher / Ed. Institution: Springer
ISBN: 978-3-540-79546-9
Language: English
Subjects: Plant recognition; Precision farming; Segmentation
Subject (DDC): 004: Computer science
Abstract: One of the most invasive and persistent kind of weed in agriculture is also called "Broad-leaved Dock". The origin of the plant is Europe and northern Asia, but it has also been reported that this plant occurs in wide parts of Northern America. Eradication of this plant is labour-intensive and hence there is an interest in automatic weed control devices. Some vision systems were proposed that allow to localize and map plants in the meadow. However, these systems were designed and implemented for o-line processing. This paper presents a segmentation approach that allows for real-time recognition and application of herbicides onto the plant leaves. Instead of processing the gray-scale or colour images, our approach relays on 3D point cloud analysis and processing. 3D data processing has several advantages over 2D image processing approaches when it comes to extraction and recognition of plants in their natural environment.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Mechatronic Systems (IMS)
Appears in collections:Publikationen School of Engineering

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