Technology to support mastitis detection
3 min read
Mastitis can be a significant cost on dairy farms, making timely detection important for animal health, milk quality, and farm profitability. There are mastitis detection tools and technologies available in New Zealand that can support, but not replace, good mastitis management and farmer judgement.
Mastitis detection tools and technology can help identify cows that may have clinical or subclinical mastitis earlier than visual observation alone.
Some tools can diagnose mastitis, while others provide alerts based on changes in milk characteristics or cow behaviour that may indicate infection. Any cows identified by a technology should still be inspected and assessed before treatment decisions are made.
Improving mastitis management practices remains the first and most cost-effective step for reducing mastitis. Technology may provide additional value where earlier detection, labour efficiency, or improved monitoring are priorities.
Potential benefits will vary between farms and depend on existing mastitis performance, staff practices, and system management.

Somatic cell count (SCC) is one of the most widely used indicators of udder health.
When a cow develops mastitis, SCC typically increases as the immune system responds to infection. SCC information can help identify cows with subclinical mastitis and track herd-level mastitis performance.
Farmers can access SCC information through:
Technology should be used alongside SCC information rather than replacing it.
Find out more about managing your somatic cell count
These systems monitor milk from individual cows during milking and identify changes associated with mastitis risk.
Depending on the system, measurements may include:
Some systems measure milk at the quarter level, while others measure at the whole-udder level.
Benefits:
Limitations:
These tools estimate or measure SCC at the cow level.
Examples:
Benefits:
Limitations:
These systems can identify the bacteria that cause mastitis within 24 hours, allowing farmers to take a milk sample and wait for the result before treatment. Antibiotics are not indicated if no bacteria are grown or if the bacteria are unlikely to respond to antibiotic treatment (e.g. E. coli infections)
Examples:
Benefits:
Limitations:
These systems do not directly detect mastitis but may provide early alerts that help identify cows requiring further investigation.
What they monitor:
Benefits:
Limitations:

Before investing in technology, consider:
Ask suppliers for independent evidence of system performance and information on how technologies have been evaluated under New Zealand farming conditions.
Technology can support mastitis detection and monitoring, but it does not replace the fundamentals of effective milking practices, good hygiene, routine cow observation, SCC monitoring and following veterinary advice and appropriate treatment options.
The greatest benefits are generally achieved when technology is used alongside a strong mastitis management programme.
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