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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-1342 |
| Date | January 2002 |
| Creators | Bjurström, Håkan, Svensson, Jon |
| Publisher | Linköpings universitet, Bildbehandling, Linköpings universitet, Tekniska högskolan, Linköpings universitet, Bildbehandling, Linköpings universitet, Tekniska högskolan, Institutionen för systemteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | LiTH-ISY-Ex ; 3293 |
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