Conceptualizing a holistic smart dairy farming system

Zusammenfassung
With the increasing use of sensor technology and the resulting diverse data streams in dairy farming, the potential for the use of AI rises. Beyond the AI-based solution of individual problems, a holistic approach to smart dairy farming is necessary. In this contribution, we identify and analyse a set of diverse use cases for smart dairy farming: lying behaviour analysis, heat stress monitoring, work diary, barn and herd monitoring, and animal health tracking. These focus both on animal health and welfare as well as assistance for farmers. Based on the requirements of these use cases, we design a holistic smart dairy farming system in an iterative development process.
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  • BibTeX
Gravemeier, L. S., Dittmer, A., Jakob, M., Kümper, D. & Thomas, O., (2023). Conceptualizing a holistic smart dairy farming system. In: Hoffmann, C., Stein, A., Ruckelshausen, A., Müller, H., Steckel, T. & Floto, H. (Hrsg.), 43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme. Bonn: Gesellschaft für Informatik e.V.. (S. 77-88).
@inproceedings{mci/Gravemeier2023,
author = {Gravemeier, Laura Sophie AND Dittmer, Anke AND Jakob, Martina AND Kümper, Daniel AND Thomas, Oliver},
title = {Conceptualizing a holistic smart dairy farming system},
booktitle = {43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme},
year = {2023},
editor = {Hoffmann, Christa AND Stein, Anthony AND Ruckelshausen, Arno AND Müller, Henning AND Steckel, Thilo AND Floto, Helga} ,
pages = { 77-88 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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ISBN: 978-3-88579-724-1
ISSN: 1617-5468
Datum: 2023
Sprache: en (en)
Typ: Text/Conference Paper
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