Target audience: Technical professionals from the dairy sector and other livestock sectors with an interest in animal health, farmers, farm advisors.

This webinar will look into current sensor systems in the dairy sector, and their aim to detect and manage cows with mastitis or abnormal milk that play a significant role in herd management.

Speakers

• Prof. David Kelton, University of Guelph, Canada
• Prof. Henk Hogeveen, Wageningen University, Netherlands
• Dr Ilka Klaas, DeLaval International AB, Denmark
• Dr Honig Hen, Veterinary service, ministry of agriculture, Israel
• Dr Alfonso Zecconi, Universita degli Studi di Milano, Italy
• Dr Gunnar Dalen, TINE Dairies SA, Norway

Context

Mastitis has important health and economic consequences for the farmer and the cows. Sensor systems can help to detect abnormal milk or clinical mastitis.

Since the introduction of milking robots on dairy farms, leading to the possibility of automatic milking, sensor systems have been a topic of general interest. Sensors should be able to detect clinical mastitis without the presence of a human milker. Understandably, the development of sensor systems has been focussed to the detection of clinical mastitis.

Because of the vast amount of data sensors systems currently collect, in combination with smart algorithms, the use of sensor systems may go further and support farmers to management udder health even better. IDF experts on udder health have identified these situations and will propose how could they be managed.

Register online