People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Praks, Jaan
Aalto University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2024Comparing InSAR Snow Water Equivalent Retrieval Using ALOS2 With In Situ Observations and SnowModel Over the Boreal Forest Areacitations
- 2023Atomic layer deposition (ALD) for environmental protection and whisker mitigation of electronic assembliescitations
- 2020Characterization and Implementation of a Piezoelectric Energy Harvester Configuration: Analytical, Numerical and Experimental Approachcitations
- 2019Intra-spacecraft Optical Communication Solutions using discrete Transceivercitations
- 2006Assessing cows' welfarecitations
- 2006Contactless measurement of cow behavior in a milking robotcitations
- 2005Monitoring cow health in a milking robot
Places of action
Organizations | Location | People |
---|
document
Monitoring cow health in a milking robot
Abstract
<p>A system for automatically measuring the physical health of a dairy cow has been developed. Milking robots offer a unique possibility for the dynamic measurement of physical data. Four strain gauge scales were installed in a milking robot in order to measure the weight of each leg separately The sensors were connected to an amplifier and the data was collected in a PC using a dedicated computer program. From the data it is possible to calculate e.g. the mean weight and the weight variation of each leg, the total weight, the number of kicks and the frequency of kicks. The acquired information can be used to judge restlessness and welfare e.g. hoof diseases. It is also possible to analyze the behaviour of the cow. Long term monitoring was conducted in order to find changes in leg weights and step and kick behaviour.</p>