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dc.contributor.authorShanmuganathan, S
dc.contributor.authorNarayanan, A
dc.contributor.authorRobison, N
dc.contributor.editorDing, Y
dc.contributor.editorWang, H
dc.contributor.editorXiong, N
dc.contributor.editorHao, K
dc.contributor.editorWang, L
dc.date.accessioned2011-08-05T00:24:43Z
dc.date.available2011-08-05T00:24:43Z
dc.date.copyright2011-07-26
dc.date.issued2011-08-05
dc.identifier.citationThe 7th International Conference on Natural Computation, Shanghai, China, 2011-07-26 - 2011-07-28
dc.identifier.isbn978-1-4244-9952-6/11
dc.identifier.urihttp://hdl.handle.net/10292/1585
dc.description.abstractWinegrowers for generations know it all too well that grapes harvested from different areas within a vineyard will produce wines of different flavours, mainly due to within-field variance in vine vigour caused by environmental variability from various factors, such as soil properties, microclimate conditions, and rootstock. Recent research attempts on the use of state-of-the-art technologies to model/ simulate within-field variance at a vineyard scale are outlined. Consequently, the paper illustrates a cellular automaton (CA) framework being developed for simulating the within-field variance in grapevine plant vigour, phenological events and vineyard production using random or real thematic mappings of likely key factors that contribute to the observed variance. The CA approach provides an alternative software tool to conventional crop estimation methods that are dependent upon expensive yield sampling methods.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.isreplacedby10292/5310
dc.relation.isreplacedbyhttp://hdl.handle.net/10292/5310
dc.relation.urihttp://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001312
dc.rights© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectGIS
dc.subjectPrecision viticulture and grape wine
dc.titleA cellular automaton framework for within-field vineyard variance and grape production simulation
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
pubs.elements-id61143


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