Wearable Sensors 2026: Tracking Individual Animal Health — Not Just for Dairy Cows

In recent years, wearable sensors have become increasingly familiar in the dairy farming industry. Based on current trends, wearable sensor technology for livestock is gaining attention not only in dairy cows, but also in beef cattle, sows, and some large-scale finishing pig models.

However, the actual level of adoption varies depending on animal species, farm scale, the economic value of each animal, and operational efficiency. For dairy cows, wearable sensors already have a clearer application base because of the high economic value of each animal and the need to monitor health, reproduction, and rumination. For pigs, this technology still needs to be evaluated more carefully in terms of device durability, cost, sensor attachment methods, and its ability to operate under real barn conditions.

What Are Wearable Sensors for Pigs and Cattle, and How Are They Different from Standard Environmental Sensors?

How they work: individual data from the animals themselves

Environmental sensors measure barn temperature, humidity, gas concentration, or the surrounding conditions around the animals. Wearable sensors focus on data from each individual animal. These devices may be attached to the ear, worn around the neck or body, or, in cattle, used as a bolus placed in the rumen or reticulum.

The data collected by wearable sensors depends on each device. Common data groups include activity level, lying and standing time, rumination behavior in cattle, ear temperature or rumen temperature, and some other physiological indicators in more advanced systems, depending on the design of each device.

Data can be transmitted wirelessly to a gateway or management platform, then analyzed using statistical algorithms, alert rules, or AI models, depending on the system. The main value of wearable sensors is that they help operators monitor each animal more closely, instead of only looking at the average of the entire herd.

The key difference is this: environmental sensors show the living conditions of the whole herd, while wearable sensors help track the status of each individual animal. When a cow shows signs of reduced rumination or activity, or when a sow shows an unusual change in activity, sensors can support alerts so operators can check the animal earlier.

Why is individual animal monitoring more important than herd-level monitoring alone?

Herd-level monitoring helps detect general trends, but it is difficult to use for individualized intervention. In a herd of 500 pigs, if only a few animals begin showing abnormal signs, the average data for the whole herd may not be clear enough to trigger an alert.

Modern livestock farming increasingly focuses on economic efficiency at the individual-animal level. A sow with delayed estrus may affect the production cycle and feed costs. A cow with reduced rumination or activity may be a signal that further checks are needed for digestion, heat stress, or overall health.

When farms raise hundreds to thousands of animals, detecting small changes through manual observation becomes very difficult and easy to miss. Wearable sensors help automate part of individual-animal observation, supporting operators in checking the right animal at the right time.

Types of Wearable Sensors Currently Used for Pigs and Cattle

Smart ear tags: tracking activity, location, and certain health indicators

Smart ear tags are sensors attached directly to the animal’s ear, similar to standard identification ear tags, but with built-in electronic sensors. Technically, these devices may include an accelerometer, a temperature sensor, and a wireless data transmission module such as BLE, LoRa, or a proprietary transmission technology from each provider.

Smart ear tags can support the monitoring of the following data groups, depending on the device:

Ear temperature: This is a reference signal related to changes in body temperature. However, it does not replace core body temperature measurement and should be interpreted together with environmental data, behavior data, and actual inspection results.

Activity and resting patterns: These help detect animals with reduced movement, changes in lying or standing time, or signs that require further checking.

Rumination or feeding behavior in cattle: Some smart ear tags for cattle can support the monitoring of rumination, feeding, and activity.

Location inside the barn: This can be tracked if the ear tag is integrated with an indoor positioning system such as RTLS or suitable positioning infrastructure.

Identification ear tags can be used for both cattle and pigs, but smart ear tags for rumination and health monitoring are currently more common in cattle. For pigs, applications often focus on identification, activity, ear temperature, or group management, depending on the product.

Rumen bolus sensors: measuring pH, rumen temperature, and digestive data in cattle

A rumen bolus sensor is a capsule-shaped device inserted into the rumen or reticulum of cattle through the mouth. Once inside, the device may remain in the digestive system for a long period, depending on its design, and transmit data to an external system.

Common indicators measured by rumen bolus sensors include:

Rumen pH: Supports the monitoring of fermentation disorders or the risk of ruminal acidosis.

Rumen temperature: Can support the monitoring of physiological and health changes, but should be interpreted together with factors such as water intake, feed, time of measurement, and clinical data.

Rumen movement/activity: In some devices, motion sensors can support the interpretation of rumen activity or help detect abnormalities that need further checking.

A bolus has the advantage of providing data from inside the cattle digestive system without requiring surgery. However, bolus insertion must be performed correctly and according to professional guidance. This device is mainly suitable for dairy cows or beef cattle in concentrated farming systems and is not common in pigs because of differences in digestive anatomy and cost considerations.

Wearable sensors for sows: supporting estrus detection, heat stress monitoring, and health abnormality alerts

Sensors for sows can be designed in many forms, such as ear tags, collars, external devices, or other specialized sensors, depending on the manufacturer and monitoring purpose.

Three common applications include:

Estrus detection support: Sensors can track activity levels, changes in resting patterns, or certain behavioral signals related to the estrus cycle. These data points can suggest when estrus checks or mating should be carried out. However, accuracy depends on the device, algorithm, sensor attachment method, and operating conditions.

Heat stress detection: Sensors can support the monitoring of surface temperature, activity, and behavioral changes related to heat stress. However, they should be combined with barn environmental data such as temperature, humidity, and ventilation for a more accurate assessment.

Health abnormality alerts: Sensors can record abnormalities such as reduced activity, reduced feed intake, or changes in temperature and behavior. These signals may be related to many different causes, including respiratory disease. However, sensors cannot diagnose PRRS or any specific disease. Disease confirmation still requires a veterinarian and appropriate testing.

Comparison of Smart Ear Tags, Rumen Bolus Sensors, and Wearable Sensors for Sows

Criteria	Smart Ear Tags	Rumen Bolus Sensors	Wearable Sensors for Sows
Suitable animals	Dairy cows, beef cattle; pigs depending on the purpose of use	Dairy cows, beef cattle	Sows, gilts
Main indicators measured	Activity, ear temperature, location if RTLS is available; rumination/feeding in cattle depending on the device	Rumen pH, rumen temperature, rumen movement/activity depending on the model	Activity, surface temperature, reproductive behavior, resting patterns
Attachment method	Attached to the ear	Inserted into the rumen/reticulum through the mouth	Worn around the neck, attached to the ear, externally mounted, or used as a specialized device
Usage duration	Depends on manufacturer, battery, and barn conditions	Depends on manufacturer, battery type, and device design	Depends on device, attachment method, and operating conditions
Key advantages	Easy to deploy, suitable for individual animal management, can be integrated with identification	Provides data from inside the digestive system, useful for dairy cows and beef cattle	Suitable for monitoring reproduction, activity, and abnormal behavior in sows
Limitations	Ear temperature is only a reference signal; functions vary by device	Not used for pigs, higher cost, requires correct technical handling	Design must suit barn conditions; risk of device loss or damage
Cost per animal	Depends on provider and order volume	Depends on provider and order volume	Depends on provider and order volume
AI/IoT integration	Can be integrated, depending on the software platform and data infrastructure	Can be integrated, depending on the software platform and data infrastructure	Can be integrated, depending on the software platform and data infrastructure; often useful for reproduction and activity monitoring

Note: Actual costs depend on the provider, order quantity, accompanying IoT infrastructure, and software package. Farms should request a detailed quotation based on their specific herd size before making an investment decision.

Livestock Wearable Sensor Trends: Moving from Herd-Level Monitoring to Individualized Monitoring

AI behavior analysis and early abnormality alerts

A notable advancement in the new generation of wearable sensors is not only the hardware, but also the analytics software behind it. AI models or behavior data analytics algorithms can support the detection of abnormal changes in each individual animal, instead of only comparing data with the average of the whole herd.

The mechanism is often based on anomaly detection. The system builds a behavioral baseline profile for each animal using historical data, then sends an alert when current behavior deviates from that baseline beyond a certain threshold. This approach helps operators focus on animals with more notable signals.

AI can support the analysis of possible factors related to reduced activity, such as environmental temperature, changes in feeding behavior, or abnormal health signals. However, the final conclusion still requires on-site inspection, environmental data, clinical observation, and veterinary assessment when necessary.

Some systems report the ability to issue earlier alerts than manual observation under trial conditions or good operating conditions. However, how much earlier the alert comes depends on the disease, device, data, and response process. A general timeframe such as 24–48 hours should not be applied to all animal species, diseases, and sensor types unless there is a specific source or case study.

Expansion from dairy cows to beef cattle, finishing pigs, and gilts

For many years, wearable sensors were mainly applied in dairy cows because of the high economic value of each animal, long production cycles, and clear needs for monitoring reproduction, rumination, and herd health.

Based on current trends, their application is gaining attention in other groups:

Beef cattle in concentrated farming systems: In concentrated beef cattle farming models, sensors can support the monitoring of activity, feeding behavior, and abnormal health-related signals. For respiratory diseases in beef cattle, sensors should only be seen as early warning tools for further inspection, not diagnostic tools.

Finishing pigs: On large-scale farms, the use of wearable sensors to monitor activity, temperature, or growth in finishing pigs is receiving more attention. However, economic feasibility must be calculated based on device cost, loss rate, sensor durability, and the specific operating model.

Gilts: This is a high-value group that has a major impact on long-term herd productivity. Monitoring the first estrus cycle and health status of gilts using sensors can be useful for large-scale farms, but it still needs to be combined with direct observation and the farm’s actual breeding procedures.

Integrating wearable sensors with farm management software and barn IoT systems

Wearable sensors do not create much value on their own if the data is not used for decision-making. The real value comes from connecting sensor data with other systems on the farm:

Herd management software: Sensor data needs to be mapped to each animal’s profile, including vaccination history, productivity, mating history, veterinary treatment, and other important records. This gives sensor alerts more context and helps operators make more accurate assessments.

Barn IoT systems: Combining data from wearable sensors with environmental data such as barn temperature, humidity, CO2, or ventilation helps distinguish between an individual issue and an environmental issue affecting the whole herd.

Alert dashboard: Instead of reading reports manually, managers can receive alerts by phone, dashboard, or management software when an abnormal animal is detected. Alerts should include background data such as activity history, temperature, behavior changes, and suggested response steps.

Deploying Wearable Sensors on Pig and Cattle Farms in Vietnam

Checklist of farm conditions to assess before investing in sensors

Before purchasing equipment, farms should assess their readiness based on the following criteria:

Connectivity infrastructure: Does the barn have Wi-Fi, LoRa, mobile network coverage, or connectivity infrastructure suitable for the device? Wearable sensors need stable connectivity at a frequency suitable for the system design. Some devices may temporarily store data and sync it when a signal is available.

Backup power: A prolonged power outage can interrupt gateways, servers, or alert systems. Backup power is needed for central devices if the farm wants to maintain continuous alerts.

Operating staff: At least one person on the farm should be trained to read and respond to system alerts. Sensors only create value if alerts are checked and handled in time.

Herd management software: Does the farm already have basic management software and individual animal records? If not, it should consider implementing management software before or at the same time as wearable sensors.

Herd size and ROI considerations: Fixed infrastructure costs such as gateways, software, and configuration are usually allocated more efficiently when the herd is large enough. There is no fixed threshold. ROI needs to be calculated based on animal species, the value of each animal, and the monitoring objective.

Operating budget: Wearable sensors do not only involve the initial purchase cost. Farms also need to consider battery replacement, replacement of damaged or lost devices, software fees, cloud fees, and technical support costs.

Steps for installation, configuration, and data integration with AI

Step 1 – Install data transmission infrastructure: Install gateways in positions that can cover the entire barn. For large barns, multiple gateways or additional transmission infrastructure are often needed.

Step 2 – Attach sensors to animals: Ear tags must be attached according to technical instructions to avoid hurting the animal or damaging the device. Rumen boluses for cattle should be inserted by a veterinarian or under direct professional guidance. Wearable sensors for sows need to be adjusted to fit each animal to avoid falling off, causing friction, or affecting behavior.

Step 3 – Configure the software: Enter individual animal information such as ID number, sex, date of birth, health history, mating history, and link it with the corresponding sensor ID. This is an important step because if the animal profile is wrong, later alerts can easily be misinterpreted.

Step 4 – Set alert thresholds: Some systems have default thresholds, but farms should adjust them based on local conditions. For example, barn temperatures in southern Vietnam may be higher than the default thresholds of some software systems designed for different climates.

Step 5 – Calibration phase: During the initial phase, which may last several weeks depending on the system, the AI or algorithm needs time to build a behavioral baseline for each animal. Alerts during this phase may be frequent and not yet accurate. This is the calibration phase and does not necessarily mean the system is faulty.

Step 6 – Operation and feedback: Farm staff need to record the actual inspection results after each alert and feed them back into the system. Feedback data such as correct/incorrect alerts, causes, and actions taken can help the system improve alert quality over time.

Costs and what to ask providers before making a decision

The cost of deploying wearable sensors depends heavily on the provider, country of origin of the device, order volume, animal species, and accompanying software package. There is no single figure that applies to all farms, so farms should request a specific quotation from the provider.

When requesting a quotation, farms should separate costs into three parts:

Sensor hardware cost per animal: This includes ear tags, boluses, or wearable sensors for sows.

Fixed infrastructure: This includes gateways, servers, edge devices, cloud fees, or initial installation costs.

Annual operating costs: These include software fees, maintenance fees, device replacement, battery replacement, technical support, and staff training.

In addition, farms should ask providers the following questions:

How long can the device operate in hot, humid, and dusty conditions?

What warranty policy applies if the sensor falls off, is damaged, or loses signal?

Is technical support available in Vietnam?

Does the software have a Vietnamese interface or an interface that is easy for farm staff to use?

Can the system be piloted before full-herd deployment?

Does the farm or the provider own the data?

Can the data be exported to Excel or through an API for integration with other systems?

Recommendation: Request at least 2–3 quotations from different providers and ask to run a pilot on a small part of the herd before full deployment.

Practical application in Vietnam and reference markets

In Vietnam, some large-scale dairy, beef cattle, or sow farms may be in the process of researching, testing, or evaluating wearable sensor systems. However, detailed information on implementation results has not been widely published, so farms should confirm directly with providers about local reference projects.

Farms that want to learn from real-world experience can also look at livestock markets in the region, but adoption levels in each country should be verified through providers, industry seminars, or public case studies. More importantly, farms should ask providers for reference projects that are similar to Vietnam in climate, farm scale, and animal species.

Common Mistakes When Deploying Wearable Sensors on Farms in Vietnam

1. Buying sensors without an operating plan

Many farms buy devices because of market trends but do not assign anyone to read and respond to alerts. As a result, the sensors still collect data, but the data does not create operational value because alerts are not checked and handled.

2. Not preparing connectivity infrastructure first

A common mistake is installing sensors first and only later discovering that the barn has no signal or unstable connectivity. Rebuilding infrastructure after devices have already been installed is often much more expensive than preparing it properly from the beginning.

3. Using default alert thresholds that do not match local conditions

Some software or default thresholds may be designed for climate conditions different from Vietnam’s. Farms therefore need to calibrate alert thresholds based on local conditions to avoid too many false alerts or missed important signals.

4. Lacking basic individual animal records

Sensors are linked to individual animal IDs. However, if individual records are incomplete — such as date of birth, disease history, mating history, or production data — the system will lack context for analysis. Many farms start using sensors before they have baseline data, which limits the system’s analytical capacity.

5. Forgetting replacement and maintenance costs

Wearable sensors used on animals in barn environments can be damaged, lost, or require battery replacement or periodic replacement. Failing to plan for these costs can cause the operating budget to exceed expectations after a period of use.

6. Expecting immediate results

AI or algorithms need time to learn each animal’s behavioral baseline. Farms that evaluate the system too early may conclude that it is “ineffective,” while in reality the system may not yet have enough data to operate stably.

FAQ About Wearable Sensors for Pigs and Cattle

What indicators can smart ear tags measure, and what animals are they suitable for?

Smart ear tags can measure activity level, resting patterns, ear temperature, location if a suitable positioning system is available, and other behaviors depending on the manufacturer’s design.

Identification ear tags can be used for many species, including cattle and pigs. However, smart ear tags that monitor rumination, feeding, and health are currently more common in cattle. For pigs, applications often focus on identification, activity, ear temperature, or group management, depending on the device.

For cattle, smart ear tags can support the monitoring of rumination, feeding, activity, and certain health alerts. Alerts related to mastitis or metabolic disease need to be checked using observation, milk production data, and veterinary assessment.

How are rumen bolus sensors installed in cattle, and how long can they be used?

Rumen bolus sensors are inserted into the rumen or reticulum of cattle using a specialized tool. This process should be performed or guided by a veterinarian to avoid esophageal injury and ensure the device reaches the correct position.

After entering the rumen or reticulum, the device can remain in the digestive system and transmit data externally. Operating time depends on the battery and design of each manufacturer, so farms need to confirm the exact specifications when requesting a quotation.

Can wearable sensors for sows support early estrus detection and PRRS warning?

Estrus detection support: Yes, they can support estrus detection, especially when the sensor can track activity level, resting patterns, and behavioral changes related to the reproductive cycle. However, accuracy depends on the device, algorithm, sensor attachment method, and operating conditions.

Health-related abnormality alerts: Sensors can record signs such as reduced activity, reduced feed intake, or changes in temperature and behavior. These signals may be related to many different causes, including respiratory disease. However, sensors cannot diagnose PRRS, also known locally as blue ear disease. Disease confirmation still requires a veterinarian and appropriate testing.

How should medium-sized pig and cattle farms in Vietnam prepare their budget when starting with wearable sensors?

There is no absolute number because costs depend on the provider, existing infrastructure, number of animals, and accompanying service package. However, farms should calculate costs in three parts:

Sensor hardware cost per animal.

Fixed infrastructure, including gateways, servers, edge devices, or cloud fees.

Annual operating costs, including software fees, device replacement, battery replacement, and technical support.

The safest approach is to request at least 2–3 quotations from different providers, ask to run a pilot on a small part of the herd before full deployment, and calculate ROI based on the farm’s own indicators, such as breeding performance, disease treatment costs, losses from late disease detection, or staff time spent on manual monitoring.

Where Should Farms Start If They Are Considering Wearable Sensors?

Wearable sensors for pigs and cattle are no longer a technology only for large corporations. Some solutions are becoming more accessible thanks to more providers and more flexible service models, but actual costs still need to be checked through specific quotations.

The key to successful adoption is not buying the most expensive device. It is choosing the right type of sensor for the target animal, preparing the technical infrastructure before deployment, and having a clear operating plan from day one.

If a farm is still in the research stage, the most practical step is to contact 2–3 providers operating in Vietnam, request a demo, ask about suitable reference projects, and run a small pilot before investing across the whole herd.

Wearable sensors should be seen as tools that support individual animal management, abnormality alerts, and better operational data quality. This technology does not replace farmers, veterinarians, or technical experts. However, if implemented properly, it can help farms respond faster, manage herds in greater detail, and make decisions based on better data.

Explore Livestock Sensor and Animal Monitoring Technologies at VIETSTOCK 2026

VIETSTOCK 2026 – Vietnam’s Premier International Feed, Livestock, Meat Industry Show – is expected to bring together more than 300 brands and 13,000 trade visitors from many countries, including providers of sensor equipment, IoT solutions, and animal health management technologies. This is an opportunity to:

• Meet sensor equipment and individual animal health monitoring solution providers that are active in Vietnam and the region
• Evaluate and compare multiple solutions in one place before deciding to run a pilot on your farm
• Connect with experts and businesses in the industry to discuss implementation conditions, actual costs, and operating experience suitable for farm scale in Vietnam

Time: October 21–23, 2026

Venue: Saigon Exhibition and Convention Center (SECC), 799 Nguyen Van Linh, Ho Chi Minh City.

Register now to capture development and networking opportunities in the livestock industry:

Visitor registration: https://www.vietstock.org/en/online-registration-2/

Event website: https://www.vietstock.org/en/

Contact information:

• Exhibiting: Ms. Sophie Nguyen – [email protected]
• Group Delegation Support: Ms. Phuong – [email protected]
• Marcom Support: Ms. Anita Pham – [email protected]