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Towards a flexible hybrid planner for machine coordination in arable farming

dc.contributor.authorStock, Sebastian
dc.contributor.authorLingemann, Kai
dc.contributor.authorStiene, Stefan
dc.contributor.authorHertzberg, Joachim
dc.contributor.editorRuckelshausen, A.
dc.contributor.editorMeyer-Aurich, A.
dc.contributor.editorRath, T.
dc.contributor.editorRecke, G.
dc.contributor.editorTheuvsen, B.
dc.date.accessioned2017-06-21T07:39:11Z
dc.date.available2017-06-21T07:39:11Z
dc.date.issued2016
dc.description.abstractIn this paper we propose a new approach to coordinate multiple machines in the grain harvesting process, based on meta-constraint reasoning. This way we obtain more flexible plans that can be adapted at execution time. As an example scenario we focus on silage maize harvesting. We argue that more sophisticated flexible planning mechanisms are needed in order to obtain flexible plans that can be adapted at runtime to changing parameters such as yield per area.en
dc.identifier.isbn978-3-88579-647-3
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik in der Land-, Forst- und Ernährungswirtschaft 2016
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-253
dc.titleTowards a flexible hybrid planner for machine coordination in arable farmingen
dc.typeText/Conference Paper
gi.citation.endPage208
gi.citation.publisherPlaceBonn
gi.citation.startPage205
gi.conference.date22.-23. Februar 2016
gi.conference.locationOsnabrück

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