Get a better understanding of why ketosis happens, the effects it has on your cows and things you can do to prevent it.

Milk fever, or hypocalcemia as it is known scientifically, is a metabolic condition most prevalent after calving. Sometimes symptoms are obvious whilst at other times they are not as apparent. Here we share simple tips to prevent Milk fever in dairy cows.

Some decades ago, it was absolutely fine for a dairy farmer to control his or her cows just visually by gut feeling and no data or very little was ever recorder. Times have now changed and more farmers are understanding the importance of collecting data on farm to be more sustainable, profitable and productive. This short read gives insight into the benefits of making use of data on farm.

Some decades ago, it was not unusual to have a sick dairy cow. It could be milk fever, some kind of metabolic disease or a displaced abomasum, and this usually happened after calving. Over time, however, farmers and vets came to realize that this was just not acceptable: Not in terms of animal health and welfare and neither in economic terms. Consequently, prevention of disease came into focus and this consisted of a more or less systematic monitoring of animals in the most critical period after calving.

A preventative approach: A focus on Lameness and Mastitis

Metabolic disease, lameness and mastitis are a constant challenge to our industry, and we cannot just ignore it: The dairy sector has to concede that there are still too many lame cows and the udder health could still be improved. In this article we look at how data can be used ot help improve herd health.

Did you know that most transition cow diseases go unnoticed? In this interesting read we cover the impact of these diseases on your herd and measures you can take to prevent them from occurring. Acting before it is too late, to help you become more economically and environmentally sustainable. 

Dairy farming today isn’t about hitting the road with an old roadmap; it is planning the investments as carefully as possible, identifying risks as early as possible and to make sustainability as easy as possible. The application of Big Data principles is about putting existing data into a bigger perspective and creating insights for the future. Interpretation of data is taken over by artificial intelligence and time isn’t wasted looking at numbers, but rather acting on the basis of the information it provides. This means moving forward quicker, reaching the goal earlier: A dairy industry that is truly achieving sustainability.