Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints

Franz Papst, Olga Saukh, Kay Uwe Römer, Florian Grandl, Igor Jakovljevic, Franz Steiniger, Martin Mayerhofer, Juergen Duda, Christa Egger-Danner

Publikation: KonferenzbeitragPaperForschungBegutachtung

Abstract

Today’s herd management undergoes a major transformation triggered by the penetration of cheap sensor solutions into cattle farms, and the promise of predictive analytics to detect animal health issues and product-related problems before they occur. The latter is particularly important to prevent disease spread, ensure animal health, animal welfare and product quality. Sensor businesses entering the market tend to build their solutions as end-to-end pipelines spanning sensors, proprietary algorithms, cloud services, and mobile apps. Since data privacy is an important issue in this industry, as a result, disconnected data silos, heterogeneity of APIs, and lack of common standards limit the value the sensor technologies could provide for herd management. In the last few years, researchers and communities proposed a number of data integration architectures to enable exchange between streams of sensor data. This paper surveys the existing efforts and outlines the opportunities they fail to address by treating sensor data as a black box. We discuss alternative solutions to the problem based on privacy-preserving collaborative learning, and provide a set of scenarios to show their benefits for both farmers and businesses.
Originalspracheenglisch
Seitenumfang4
PublikationsstatusVeröffentlicht - 22 Okt 2019
VeranstaltungThe 9th International Conference on the Internet of Things - Bilbao, Spanien
Dauer: 22 Okt 201926 Okt 2019
https://iot-conference.org/iot2019/

Konferenz

KonferenzThe 9th International Conference on the Internet of Things
KurztitelIoT 2019
LandSpanien
OrtBilbao
Zeitraum22/10/1926/10/19
Internetadresse

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Data integration
Farms
Sensors
Animals
Health
Industry
Data privacy
Application programming interfaces (API)
Application programs
Big data
Pipelines

Fields of Expertise

  • Information, Communication & Computing

Dies zitieren

Papst, F., Saukh, O., Römer, K. U., Grandl, F., Jakovljevic, I., Steiniger, F., ... Egger-Danner, C. (2019). Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints. Beitrag in The 9th International Conference on the Internet of Things, Bilbao, Spanien.

Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints. / Papst, Franz; Saukh, Olga; Römer, Kay Uwe; Grandl, Florian; Jakovljevic, Igor; Steiniger, Franz; Mayerhofer, Martin; Duda, Juergen; Egger-Danner, Christa.

2019. Beitrag in The 9th International Conference on the Internet of Things, Bilbao, Spanien.

Publikation: KonferenzbeitragPaperForschungBegutachtung

Papst, F, Saukh, O, Römer, KU, Grandl, F, Jakovljevic, I, Steiniger, F, Mayerhofer, M, Duda, J & Egger-Danner, C 2019, 'Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints' Beitrag in, Bilbao, Spanien, 22/10/19 - 26/10/19, .
Papst F, Saukh O, Römer KU, Grandl F, Jakovljevic I, Steiniger F et al. Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints. 2019. Beitrag in The 9th International Conference on the Internet of Things, Bilbao, Spanien.
Papst, Franz ; Saukh, Olga ; Römer, Kay Uwe ; Grandl, Florian ; Jakovljevic, Igor ; Steiniger, Franz ; Mayerhofer, Martin ; Duda, Juergen ; Egger-Danner, Christa. / Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints. Beitrag in The 9th International Conference on the Internet of Things, Bilbao, Spanien.4 S.
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