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.

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Milking speed and genetic evaluation

Author: Maarten Crivits (ILVO) - April 27, 2017

Breeding values can be more efficiently evaluated by taking into account the milking speed. Slow-milking cows might lead to a less efficient use of automatic milking systems (AMS) or may hold up the milking process when many cows are milked in a specific time slot. However, high milking speed has also been correlated to worse udder health, making it important to put an emphasis on an breeding approach that both improves milkability and udder health.

Case study: a GPS location system for goats

Author: Aida Xercavins Simó (IRTA) - April 12, 2016

Digitanimal is a location and monitoring system for extensive production farms. In addition to the neck tags with the sensors, Digitanimal consists also on a cloud solution and a user application for Android, iOS and web. Thereby the system allows to know anywhere and anytime where each animal is. Monitoring is based on the activity of the animal and its behaviour regarding the other animals of the herd. 

Source: Digitanimal.

Webinar online

Author: Kristine Piccart (ILVO) - March 29, 2017

For those of you who missed the first 4D4F webinar "A step towards tomorrow’s precision livestock farming" on February 28, you can watch it hereThe webinar included talks by David Gardner (IfA), Anders Herlin (KLSA/SLU), Kristine Piccart (ILVO) and was moderated by Lennart Wikström (KLSA).

Video: The Herd Navigator in Clifton Hall farm.

Author: Sarah Dusgate (Innovation for Agriculture) - February 15, 2017

John Holliday from Clifton Hall farm installed 4 VMS robots in July 2015, and has since installed the DeLaval Herd Navigator system in August 2016. Milk samples are collected at regular intervals from the 4 milking robots and tested to analyse progesterone levels, lactate dehydrogenase (LDH) and beta hydroxybutyrate (BHB). In this video, DeLaval rep Kieran Fitzgerald talks us through the system.

Case Study: Vel'Phone calving alert

Author: Sarah Dusgate (innovation for Agriculture) - January 30, 2017.

The Vel’Phone calving alert technology is based on temperature analysis. The staff of Shordley Hall Farm in Wrexham aim to insert the thermometer probes in the vaginal canal of pregnant cows 3-4 days prior to calving. Ensuring good hygiene of the device is critical, so all equipment is thoroughly disinfected before use to prevent infections. 

Source: Richard Lloyd (Innovation for Agriculture)