Statistics of research projects

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List of projects

 

DiLaAg

 

D4Dairy

The overall goal of D4Dairy is the generation of added value for herd management as well as the improvement of animal health, animal welfare and product quality by creating a welldeveloped (data) network and by exploiting the opportunities offered by new (digital) technologies and analytical methods.

 

SmartCalf_BRD

Visual scoring of calves of approx 2mo age for detecting BRD. Describe movement and activity patterns for heatlhy and diseased calves. Algorithm developing and testing. The hypothesis is that accelerometer derived data can be used for early detection of BRD.

 

SmartCalf_DIA

Scoring and clinical examination of calves from d0 to d28 of life for detecting diarrhea. Describe movement and activity patterns for heatlhy and diseased calves. Algorithm developing and testing. The hypothesis is that accelerometer derived data can be used for early detection of calves suffering from diarrhea.

 

LocateIt!

Evaluate the validity of detecting animals in various functional areas by use of the accelerometer system SMARTBOW.

 

HeatSensor

Evaluation of the accelerometer system SMARTBOW for detecting bovine estrus events. Describe activity and movement patterns of natural estruses as well as induced estruses (OvSynch).

 

agriProKnow

The agriProKnow project develops a novel methodology for process related Information management, which aims at significantly improving the milk production efficiency in precision dairy farming. In a particularly complex cyber-physical production system that combines people, animals and technology, the focus is on animal health and welfare modelling, monitoring, and control, as they play the crucial roles in the production process. The focus of the innovation is a procedure for process knowledge generation, which combines methods of stochastic analysis of sensor data, and semantic situation modeling and semantic data-warehousing.

 

PigWatch

The objective of the PigWatch project was to develop an automated monitoring technique for detection of nest-building behaviour in sows on the basis of accelerometer data. Postural behaviour of sows was also classified on the basis of accelerometer data. The third objective of the project was to develop a 2D image based piglet counter.

 

CalfMonitoring

Monitoring of vital parameter of calves during 2nd stage of labor by use of a wireless pulseoximeter. Developing and testing of a hoof cover for fixing the sensor of the pulseoximeter.

 

BirthMonitoring

Developing and testing of an algorithm for predicting parturition in dairy cows by use of the accelerometer system SMARTBOW. Hypothesis: Animal acitivity and rumination data can be used for prediction parturition in cattle.

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