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<title>Künstliche Intelligenz 27(4) - November 2013</title>
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<dc:date>2026-07-22T20:35:37Z</dc:date>
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<title>Special Issue on Artificial Intelligence in Agriculture</title>
<link>http://dl.gi.de/handle/20.500.12116/11378</link>
<description>Special Issue on Artificial Intelligence in Agriculture
Dengel, Andreas
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<dc:date>2013-01-01T00:00:00Z</dc:date>
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<title>Mechatronic System for Mechanical Weed Control of the Intra-row Area in Row Crops</title>
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<description>Mechatronic System for Mechanical Weed Control of the Intra-row Area in Row Crops
Gobor, Zoltan
The dissertation discusses the problem of mechanical weed control within the intra-row area in row crops. A novel concept featuring an electrically driven weeding tool similar to that applied in rotational crop thinning systems is proposed. The special characteristics of the system include the ability to tune rotational speed of the hoeing tool according to forward speed of the carrier, estimated in-row distance between adjacent plants and observed angular position of the arms. A laboratory prototype including an interim solution for detection of the single plants was developed and tested.
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<dc:date>2013-01-01T00:00:00Z</dc:date>
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<title>AI, Robotics and the Role of ECCAI</title>
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<description>AI, Robotics and the Role of ECCAI
Visser, Ubbo
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<dc:date>2013-01-01T00:00:00Z</dc:date>
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<title>Ontology-Based Mobile Communication in Agriculture</title>
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<description>Ontology-Based Mobile Communication in Agriculture
Grimnes, Gunnar Aastrand; Kiesel, Malte; Bernardi, Ansgar
This paper describes the use of semantic technologies to enable a public/private communication network in the iGreen project. The motivation for using semantic technologies is outlined, and a description of the iGreen ontology-server is given, and the services this provides to users and developers. We discuss the semantic data-sets published in iGreen and the steps taken to enrich and interlink these.
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<dc:date>2013-01-01T00:00:00Z</dc:date>
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