“Automated activity monitoring systems (AMS) collect data on every cow 24/7,” says Arnold Harbers, data analyst at Nedap Livestock Management. “The system compares live data to past data on the animal and the rest of the herd. When incoming data is different than what would be expected based on previous data, the system can send an alert to your phone or laptop for intervention.”
Besides heat signs and the cow’s location, Nedap’s CowControl system monitors eating, rumination and inactive behavior. Here are a few ways AMS data gives you useful information on individual cows and herd trends to help you control costs and maintain animal health:
Reduce treatment time of mastitis
What if you could detect acute mastitis and other common diseases earlier? Mastitis is among the most contagious and costly diseases affecting U.S. dairy farms. In fresh cows, a mastitis case results in an average loss of $444. And in total, mastitis costs U.S. dairy producers about $2 billion per year. AMS data can help you detect early signs of disease and intervene faster, improving outcomes and preventing diseases from spreading throughout your herd.
One of the first signs of acute mastitis, for example, is a lack of appetite. And, when AMS data indicates a sudden drop in chewing time compared to cow or herd historical data, the system alerts you that the affected cow needs attention. If a cow does have acute mastitis, the health alert can help you identify and diagnose it before more obvious symptoms appear like swelling, hardness, redness and heat.
“There are two categories of health attentions,” says Harbers. “One category is ‘urgent attention’ and means this cow requires immediate attention. The second category includes cows with more subtle, less sudden changes in behavior. These are the animals that you can focus on during your regular pen walks.”
Cows on health attention lists should be evaluated and sent into treatment protocols or isolation for monitoring.
Stay ahead of feed quality issues
Feed costs account for the greatest portion of variable costs of producing milk. Detecting a feed issue before visual signs appear can help mitigate the financial impact. AMS data showing a decrease in feed intake for specific pens or across the herd can indicate a possible feed quality issue, such as mycotoxins.
Mycotoxins infect up to 25% of feed crops in the world, resulting in billions of dollars in lost revenue and the loss of up to 1.1 billion tons of feed annually. And, mold and mycotoxin issues in the feed are often challenging to diagnose because visual symptoms can be vague and varied.
AMS data can help identify symptoms of mycotoxins, including lethargy, reduced feed intake and reduced rumination. Data collected on individual cows and overall herd averages enable you to determine when an issue – like mycotoxins in feed – is affecting a group of cows or the entire herd. Reports on the groups eating pattern as well as eating, rumination and inactivity day totals provide insight into feeding and nutrition issues and management.
“The goal of AMS data is to alert you when there’s an issue before visual signs appear,” says Harbers. “We want to be able to pinpoint cows and groups in need of attention faster and more accurately, so that intervention can happen sooner.”
Drive transition period success
AMS data can also provide useful insights into the transition period from 60 days pre-calving to 30 days post-calving. Cow chewing activity, including eating and rumination, can be used to detect early symptoms of ketosis and hypocalcemia. It can also help determine future reproductive success.
“Cows that eat less during the dry period and the fresh period are at higher risk of ketosis and hypocalcemia,” says Harbers. “When chewing activity suddenly drops, the system will generate an alert and add her to a list of cows in need of attention. And, by identifying cows with a higher probability of ketosis, you can intervene and prevent lower milk production and lost body condition throughout lactation.”
A multi-year study on transition cow activity data by Utrecht University, Wageningen University and Research Centre, and Vetvice Consultancy in the Netherlands has also uncovered benchmarks for future reproductive success. Cows with higher eating times three to four weeks after calving are ready to be bred back sooner.
If a cow isn’t eating as often as she should, you can check on her and treat her accordingly. If multiple cows in one pen are experiencing similar issues, you can evaluate your nutrition program and environment. Making the necessary adjustments can help cows get bred back sooner.
For Nedap, trust and reliability in both partnership and technology are key. Leading international dairy farming companies, including genetics and milking equipment suppliers, partner with Nedap to include its technology in their systems. A publicly listed company, Nedap employs more than 700 people globally, across 11 locations and seven business units.