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Other literature type . 2024
License: CC BY
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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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agrifoodTEF Webinar - Empowering AI & Robotics in agritech: leveraging Testing & Experimentation Facilities for agricultural innovation

Authors: Giuffrida, Rita; Isakhanyan, Gohar; Giaffreda, Raffaele; Wenzlaff, Marie; Hunninck, Marijke; Corona, Edoardo; Ivaschiv, Ana;

agrifoodTEF Webinar - Empowering AI & Robotics in agritech: leveraging Testing & Experimentation Facilities for agricultural innovation

Abstract

agrifoodTEF hosted its first introductory webinar on 18 December 2024. The event was designed to foster knowledge-sharing and offer valuable resources for agrifood stakeholders. Participants were provided with a thorough overview of agrifoodTEF's mission, services, and support systems designed to drive sustainable productivity advancements through AI and robotics. Our facilitators and experts delivered an engaging session to guide participants through the essential aspects of agrifoodTEF, illustrating how the project supports technology adoption in agritech. The full details of the event can be found of the official event page.

Keywords

robotics, agrifood, AI, agritech, sustainable, digital solutions, farming, farm, agriculture

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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