Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 531932
Title Monitoring and mapping with robot swarms for agricultural applications
Author(s) Albani, Dario; Ijsselmuiden, Joris; Haken, Ramon; Trianni, Vito
Source In: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. - Institute of Electrical and Electronics Engineers Inc. - ISBN 9781538629390
Event 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, 2017-08-29/2017-09-01
DOI https://doi.org/10.1109/AVSS.2017.8078478
Department(s) Farm Technology Group
PE&RC
Publication type Contribution in proceedings
Publication year 2017
Abstract Robotics is expected to play a major role in the agricultural domain, and often multi-robot systems and collaborative approaches are mentioned as potential solutions to improve efficiency and system robustness. Among the multi-robot approaches, swarm robotics stresses aspects like flexibility, scalability and robustness in solving complex tasks, and is considered very relevant for precision farming and large-scale agricultural applications. However, swarm robotics research is still confined into the lab, and no application in the field is currently available. In this paper, we describe a roadmap to bring swarm robotics to the field within the domain of weed control problems. This roadmap is implemented within the experiment SAGA, founded within the context of the ECORD++ EU Project. Together with the experiment concept, we introduce baseline results for the target scenario of monitoring and mapping weed in a field by means of a swarm of UAVs.
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