Assessment of Grapevine Vigour Using Image Processing

This Master’s thesis studies the possibility of using image processing as a tool to facilitate vine management, in particular shoot counting and assessment of the grapevine canopy. Both are areas where manual inspection is done today. The thesis presents methods of capturing images and segmenting di...

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Bibliographic Details
Main Authors: Bjurström, Håkan, Svensson, Jon
Format: Others
Language:English
Published: Linköpings universitet, Bildbehandling 2002
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1342
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-13422013-01-08T13:51:59ZAssessment of Grapevine Vigour Using Image ProcessingengTillämpning av bildbehandlingsmetoder inom vinindustrinBjurström, HåkanSvensson, JonLinköpings universitet, BildbehandlingLinköpings universitet, Tekniska högskolanLinköpings universitet, BildbehandlingLinköpings universitet, Tekniska högskolanInstitutionen för systemteknik2002TechnologyVine managementcanopy assessmentimage processingimage segmentationstereo visionshoot countingcolour constancy.TEKNIKVETENSKAPTECHNOLOGYTEKNIKVETENSKAPThis Master’s thesis studies the possibility of using image processing as a tool to facilitate vine management, in particular shoot counting and assessment of the grapevine canopy. Both are areas where manual inspection is done today. The thesis presents methods of capturing images and segmenting different parts of a vine. It also presents and evaluates different approaches on how shoot counting can be done. Within canopy assessment, the emphasis is on methods to estimate canopy density. Other possible assessment areas are also discussed, such as canopy colour and measurement of canopy gaps and fruit exposure. An example of a vine assessment system is given. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1342LiTH-ISY-Ex ; 3293application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Technology
Vine management
canopy assessment
image processing
image segmentation
stereo vision
shoot counting
colour constancy.
TEKNIKVETENSKAP
TECHNOLOGY
TEKNIKVETENSKAP
spellingShingle Technology
Vine management
canopy assessment
image processing
image segmentation
stereo vision
shoot counting
colour constancy.
TEKNIKVETENSKAP
TECHNOLOGY
TEKNIKVETENSKAP
Bjurström, Håkan
Svensson, Jon
Assessment of Grapevine Vigour Using Image Processing
description This Master’s thesis studies the possibility of using image processing as a tool to facilitate vine management, in particular shoot counting and assessment of the grapevine canopy. Both are areas where manual inspection is done today. The thesis presents methods of capturing images and segmenting different parts of a vine. It also presents and evaluates different approaches on how shoot counting can be done. Within canopy assessment, the emphasis is on methods to estimate canopy density. Other possible assessment areas are also discussed, such as canopy colour and measurement of canopy gaps and fruit exposure. An example of a vine assessment system is given.
author Bjurström, Håkan
Svensson, Jon
author_facet Bjurström, Håkan
Svensson, Jon
author_sort Bjurström, Håkan
title Assessment of Grapevine Vigour Using Image Processing
title_short Assessment of Grapevine Vigour Using Image Processing
title_full Assessment of Grapevine Vigour Using Image Processing
title_fullStr Assessment of Grapevine Vigour Using Image Processing
title_full_unstemmed Assessment of Grapevine Vigour Using Image Processing
title_sort assessment of grapevine vigour using image processing
publisher Linköpings universitet, Bildbehandling
publishDate 2002
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1342
work_keys_str_mv AT bjurstromhakan assessmentofgrapevinevigourusingimageprocessing
AT svenssonjon assessmentofgrapevinevigourusingimageprocessing
AT bjurstromhakan tillampningavbildbehandlingsmetoderinomvinindustrin
AT svenssonjon tillampningavbildbehandlingsmetoderinomvinindustrin
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