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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The link between body condition, productivity & milk composition

Author: Lāsma Cielava (LLU) - Date: June 20, 2018

From May 9th to 11th, the annual “Biosystems Engineering” conference was held in Tartu (Estonia). This year, the conference included a livestock engineering section covering the newest studies in data collection and management of various farm animals. The research team (Jonkus D., Cielava L., Ruska D.) from Latvia University of Life Sciences and Technologies (LLU) prepared a poster presentation about “The relationships between different genotype dairy cow body condition score, milk urea content and milk productivity”.

The approach of a technology company to dairy farms

Authors: Deborah Piette & Tomas Norton (KUL) - Date: June 19, 2018

The development of technology for dairy farms is increasing. But, how does a technology company invent a new gadget or machine that suits and fulfils the needs of farmers?

In the video ‘The approach of a technology company to dairy farms’, Application Support from Afimilk, Maria Manolescu, explains how a technology company creates tools that are useful for the farmers and satisfy the specific needs of every farm. Technology companies know that their job is about more than just selling their products. The key to a good dairy technology provider is the after sales services. For example, to help the farmer understand the data that is generated by the technology, in order to benefit optimally from it.

Autofarm: monitoring and digital control for farms

Author: Aida Xercavins - June 5, 2018

Autofarm is a Spanish initiative to apply efficient, sustainable, agile and profitable management and control technologies in livestock farms. The aim of the company is to simplify the monitoring and management of farms. The software can be used on tablets, smartphones and computers. It allows to visualize data from the on-farm sensors and to act remotely on the system (manually or automatically) in order to correct any deviation from normality. The remote connection enables to evaluate the farm situation and make decisions without being physically there. This results in better response times and cheaper efforts. 

4D4F prize for the most innovative idea

Date: June 6, 2018

4D4F is looking for the most innovative idea on how to use sensors/data to improve dairy cow or goat performance management.

In order to participate, please send us a 1-2 page article (Word document including pictures) and email it to info@4D4F.eu. Alternatively, you can also post a short video in twitter containing the @4d4fproject tag and the #4D4F hashtag. To be eligible, the innovation must have been used on a commercial farm, and not earlier than 1st March 2016. Closing date for entries is 23rd September 2018.

How can the BCS camera help with ketosis?

Author: Fauve Henst, (ZLTO) - May 30, 2018

Ketosis is often caused by the fact that after calving a cow doesn’t consume enough energy to meet her needs. A cow can get very sick from ketosis, which causes her to lay down a lot and eat less which increases the effect of ketosis. A cow that has a BCS of >3.75 at calving has a greater risk at ketosis. A high BCS at calving occurs when an energetic ration is fed in the dry period. Dried off cows that eat a lot of energy before calving have a lower rumen fill, because they eat less dry matter. Which results in a lower intake capacity after calving. 

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