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Other literature type . 2026
License: CC BY
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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Safety for Autonomous Tractors & Field Robots in the Agrifood Sector

Authors: Zuser, Johannes; Wenzlaff, Marie;

Safety for Autonomous Tractors & Field Robots in the Agrifood Sector

Abstract

The slides were presented during the webinar "Safety for Autonomous Tractors & Field Robots in the Agrifood Sector", presented by Johannes Zuser and moderated by Marie Wenzlaff, both from Josephinum Research. They introduce the principles of Safe Agricultural Automation. As robotics and autonomous machinery enter viticulture, horticulture, tree crops, and arable farming, new safety challenges arise in unstructured and dynamic environments. The slides provide an overview of the current state of automation in agriculture, present selected state-of-the-art robotic solutions, and explain the relevant EU frameworks and standards for autonomous machinery.

Keywords

AI, Tractor, agritech, robot, artificial intelligence, agriculture

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green