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Tagged cattle at the feed fence

Solutions

Dairy Farm Intelligence

Automated monitoring that reduces labor, improves reproduction, and catches health issues before they impact production.

Dairy Operation Challenges

  1. Missed estrus events leading to extended calving intervals and lost production

  2. Late detection of mastitis, ketosis, and metabolic disorders

  3. High labor cost for twice-daily health observation across large herds

  4. Difficulty tracking individual animal performance in herds above 200 head

How Herdwize Addresses These Challenges

Herdwize Smart Eartag single-point and dual-point electronic ear tags in yellow

Automated Estrus Detection

Behavioral pattern analysis detects heat events with 92% accuracy, including nocturnal activity that visual observation misses. Alerts are delivered 6-12 hours before standing heat.

Early Mastitis Warning

Temperature deviations and activity pattern changes flag potential mastitis cases 24-48 hours before clinical symptoms manifest, enabling proactive treatment.

Activity Monitoring

Continuous step-count tracking identifies animals with depressed activity — an early indicator of digestive issues, lameness, and stress events. Rumination monitoring is on the Herdwize roadmap.

Individual Performance Tracking

Each animal's health, activity, and reproductive history is logged automatically, creating a complete digital record accessible from any device.

Expected Outcomes

  • 12-18% improvement in conception rate
  • 40% reduction in clinical mastitis treatment costs
  • 60% reduction in manual observation labor
  • Complete individual animal health records

How Herdwize Works for Dairy Operations

The Herdwize dairy monitoring system integrates directly into your existing milking and management routines without disrupting workflows. Here is how the system operates from installation through daily use.

  1. 1. Sensor Deployment

    Smart Eartags are applied to each animal using standard ear tag applicators during routine handling — no veterinary visit required. Each tag begins reporting body temperature and activity (step counts) within minutes of activation.

  2. 2. Network Coverage

    One or more Herdwize LoRa gateways are installed to cover the milking parlor, holding areas, and pasture zones. A single gateway covers a 5 km radius in open areas, so most dairy operations need only 1-2 gateways for full coverage.

  3. 3. Baseline Learning

    During the first 7-14 days, the AI engine establishes individual behavioral baselines for each animal — learning her normal temperature range and daily activity rhythm. This per-animal calibration is what enables high-accuracy anomaly detection.

  4. 4. Continuous Monitoring & Alerts

    Once baselines are established, the system monitors 24/7. Alerts are delivered via mobile app push notification, SMS, or email when behavioral deviations exceed configured thresholds. Estrus alerts are sent 6-12 hours before standing heat to optimize insemination timing.

Key Performance Metrics for Dairy

Estrus detection accuracy
92%
Herdwize field validation, n=1,200 cycles
Early mastitis warning window
24-48 hr
Pre-clinical detection vs. visual observation
Improvement in first-service conception rate
15-20%
Compared to visual-only estrus detection
Reduction in manual observation labor
60%
Based on 500-head dairy deployment data
Typical payback period
< 12 mo
Based on subscription model ROI analysis

Parlor and Management Software Integration

Herdwize is designed to complement, not replace, your existing dairy management software. The platform provides an open API for data export and integration with popular herd management systems.

  • Automatic health flag sync with your existing herd management software
  • Estrus and breeding event data exportable in standard CSV and JSON formats
  • API access for custom integration with milking parlor automation systems
  • Compatible with DairyComp, PCDart, and other common dairy management platforms
  • Individual animal health timelines accessible from any web browser or the Herdwize mobile app

Illustrative interface

Seasonal and Transition Period Monitoring

Dairy cows face heightened health risks during specific periods: the transition from dry to lactation (3 weeks pre-calving to 3 weeks post-calving), heat stress events in summer, and the first 30 days in milk when metabolic disorders peak. Herdwize's continuous monitoring is particularly valuable during these high-risk windows.

Transition cow monitoring detects sub-clinical ketosis through activity depression and temperature changes before blood ketone testing would typically identify it

Heat stress alerting flags animals showing temperature spikes above 39.5°C combined with changes in activity — enabling proactive cooling interventions

Post-calving monitoring tracks the return to normal behavioral patterns and flags cows that show delayed recovery, retained placenta indicators, or metritis symptoms

Seasonal baseline adjustment prevents false alerts when herd-wide behavioral patterns shift due to weather, feed changes, or management routine modifications

Dairy-Specific ROI Breakdown

The economic impact of automated monitoring varies by herd size and management intensity. Below are representative ranges based on industry-published data and Herdwize deployment results.

Improved conception ratesDe Vries, 2006; Meadows et al., 2005
$150–$250 per cow/year
Reduced mastitis treatment costsHalasa et al., 2007; Canadian Bovine Mastitis Research Network
$40–$80 per cow/year
Labor savings (observation)Based on $22/hr average dairy labor cost, Statistics Canada
$50–$80 per cow/year
Reduced involuntary cullingUSDA NAHMS Dairy 2014 study
$30–$60 per cow/year
Total estimated benefit$270–$470 per cow/year

Frequently Asked Questions — Dairy

How does Herdwize detect estrus differently from activity-only monitors?
Most activity monitors rely on a single metric — step count or motion index. Herdwize combines step-count activity with ±0.1 °C body temperature, measured against each animal's own baseline, to identify estrus with 92% accuracy. Adding temperature helps detect subtle nocturnal heat events and secondary signs that activity-only systems miss.
Will Herdwize work with our existing milking parlor system?
Yes. Herdwize operates independently of your milking system and provides data via web dashboard, mobile app, and API. Integration with DairyComp, PCDart, and other management software is supported through standard data export formats.
What happens if our internet goes down?
The private LoRa network on your farm does not depend on internet or cellular service, and critical alerts (temperature thresholds, geofence breaches) are designed to keep working during internet outages. When internet service resumes, data syncs to the cloud automatically.
How long does installation take for a 300-cow dairy?
Typical deployment for a 300-head dairy operation takes 1-2 days. Eartag application can be done during routine handling, and gateway installation requires mounting, a power connection, and a wired Ethernet connection. The system begins generating alerts within 7-14 days after baseline calibration.
Is the eartag comfortable for the animal?
The Smart Eartag weighs just 9–12.5 g depending on model — comparable to a conventional ID tag. It is applied using standard applicators that dairy producers already use.
Integrator mounting a Herdwize LoRa gateway on a barn wall

Ready to Deploy Livestock Intelligence?

Schedule a platform briefing to discuss deployment scope, infrastructure requirements, and expected ROI for your operation.