Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Michael Sünkel"'
Autor:
Lara Schmeling, Golnaz Elmamooz, Phan Thai Hoang, Anastasiia Kozar, Daniela Nicklas, Michael Sünkel, Stefan Thurner, Elke Rauch
Publikováno v:
Animals, Vol 11, Iss 9, p 2660 (2021)
Monitoring systems assist farmers in monitoring the health of dairy cows by predicting behavioral patterns (e.g., lying) and their changes with machine learning models. However, the available systems were developed either for indoors or for pasture a
Externí odkaz:
https://doaj.org/article/af058d8a7c684b86b7c5692442cce64c
Autor:
Golnaz Elmamooz, Simon Steuer, Michael Sünkel, Daniela Nicklas, Aboubakr Benabbas, Nasr Kasrin
Publikováno v:
CCF Transactions on Pervasive Computing and Interaction. 3:76-93
The recent evolution of the Internet of Things into a cyber-physical reality has spawned various challenges from a data management perspective. In addition, IoT platform designers are faced with another set of questions. How can platforms be extended
Autor:
Stefan Thurner, Michael Sünkel, Golnaz Elmamooz, Daniela Nicklas, Phan Thai Hoang, Anastasiia Kozar, Lara Schmeling, Elke Rauch
Publikováno v:
Animals
Volume 11
Issue 9
Animals : an Open Access Journal from MDPI
Animals, Vol 11, Iss 2660, p 2660 (2021)
Volume 11
Issue 9
Animals : an Open Access Journal from MDPI
Animals, Vol 11, Iss 2660, p 2660 (2021)
Simple Summary There are various systems available for health monitoring and heat detection in dairy cows. By continuously monitoring different behavioral patterns (e.g., lying, ruminating, and feeding), these systems detect behavioral changes linked