Dairy Data Warehouse – Artificial intelligence will shape the future of dairy farms

We live in a world of data, and the dairy industry is no exception.

From herd health to milk production, from barn sensors to feed rations, there is no lack of monitoring data to help modern dairy farmers succeed.

The challenge is consistent, timely, reliable and useful access to all that information.

The goal then becomes how to unlock data’s full value in a way that allows a farm, and the advisors supporting that farm, to effectively interpret and use it to make better decisions for the efficiency and sustainability of the operation.

Enter machine learning.

Predicting the future

As more dairy farms adopt digital technologies, and data collection continues to grow, the potential for machine learning in the industry will expand. Machine learning is an integral part of artificial intelligence (AI). It enables systems to learn from large amounts of data through pattern identification that would be difficult, or sometimes impossible, to detect manually or with the naked eye.

Machine learning can improve pattern recognition as more quality data becomes available, making predictions about future events easier to identify. This precise and predictive “hired hand” can support improvements in feed efficiency, animal health and overall farm productivity. When built on connected, standardized farm data, AI and machine learning can also contribute to more sustainable dairy systems by optimizing resource use and reducing avoidable losses.

And while machine learning doesn’t replace a human advisor, it can help farm consultants more quickly identify patterns and potential problems to help farmers make better informed, proactive decisions.

Pablo Janowicz – Ag. Engineer and Key Account / Business Development Manager at Dairy Data Warehouse

“Machine learning depends on good data, but it’s only as good as the data behind it,” says Pablo Janowicz, Ag. Engineer and Key Account / Business Development Manager at Dairy Data…

Source