Data Driven Dairy Decision For Farmers (4D4F) aims at developing a network for dairy farmers, dairy technology suppliers, data companies, dairy advisors, veterinarians and researchers to improve the decision making on dairy farms based on data generated by sensors.

To access the 4F4F content, log in or register below.

 

 

 

 

Three questions on heat detection

Author: Maarten Crivits (ILVO) - July 3, 2017

Managing the period of insemination is a complex affair because a lot of information needs to be taken into account. You don’t know when exactly the cow will be in heat, and often one needs to work within a limited timeframe. Furthermore, heat detection takes skill and time (at least two times half an hour/day). Due to this complexity, it is good to consider the insemination as a separate period, following the period of ‘starting up’. Starting up means: providing an animal at about day 55 that has remained healthy in its first month of lactation without passing through any negative energy balance. Also, an it has been shown that when a cow loses less than 0.5 point BCS, pregnancy rate increases considerably.

4D4F Workshop in Bucharest

Author: Livia Vidu (USAMV) - June 21, 2017

On June 9,  the first Romanian workshop dedicated to the 4D4F project was held at the University of Agronomic Sciences and Veterinary Medicine, Faculty of Animal Science. The event was included in the International Conference program "Agriculture for Life, Life for Agriculture". At this workshop, 33 people participated: researchers, experts in the field and PhD students from Romania and the Republic of Moldova.

Pilot: Following your cows with real-time data

Author: Janine Roemen (ZLTO) - June 19, 2017

ZLTO from the Netherlands is setting up a project in collaboration with a data science company and sensor/management software producer. Connecterra is the data science party in this collaboration; they are a start-up company that produced Ida, the intelligent assistant for dairy farmers. 

 

Photo: Cow equipped with "Ida", the new health and activity tracker from Connecterra.

 

 

How can sensors improve udder health?

Author: Kristine Piccart (ILVO), Richard Lloyd (IfA) - June 14, 2017

Mastitis is one of the most costly, and also one of the most frustrating diseases on a dairy farm. To reduce the somatic cell count and the amount of clinical mastitis cases, we first need to identify the underlying problem. Besides DHI records and bulk tank somatic cell count reports, can farm-specific sensor data provide some added value to evaluate udder health on a dairy farm? 

Pages