A ‘Smartwatch’ for Cows? This Nagpur Startup Helps Farmers Spot Illness & Find Lost Cows

What is eVerse.AI’s Connected Cow Collar, and what information does it track?

The Connected Cow Collar is a wearable device for cattle developed by Nagpur-based eVerse.AI. It continuously gathers information that can reveal changes in an animal’s health, behaviour and routine. This matters because farmers may not notice early signs of sickness or breeding readiness by watching every cow closely.

The collar tracks temperature, activity, movement and behaviour. AI and machine-learning systems analyse these signals and identify patterns or changes that farmers might otherwise miss. The system can then send alerts to farmers’ phones about possible illness or heat cycles.

The collar also includes GPS, helping farmers locate animals that wander away. Its information connects with the Connected Cow app, which stores health, medical and productivity records. CowGPT provides additional guidance through WhatsApp in several Indian languages, using voice notes or text. Together, these tools turn routine animal monitoring into timely information for farmers.

How many collars have been deployed, and which farmers or dairy companies are using the technology?

More than 40,000 AI collars had been deployed by eVerse.AI when the article was written. This shows that the company’s livestock technology has moved beyond a small experiment and is being used at substantial scale. The collars provide farmers with information about animal health, breeding and location.

Ankush Shelke, a 35-year-old dairy owner from Khedi village, uses the technology with his five-cow dairy. He receives alerts about heat cycles and possible illness, and uses GPS to find cows while they graze. The article says each animal gives him 2–3 litres more milk daily after using the technology.

eVerse.AI also has partnerships with Amul, Banas Dairy and Mother Dairy. The company plans to expand across major dairy states. Its stated goal is to provide timely information, healthier cattle and better incomes for dairy farmers.

How can changes in a cow’s temperature, movement, activity and behaviour help predict illness, breeding readiness or escape?

Small changes in a cow’s temperature, activity, movement or behaviour can provide early clues about what is happening inside or around the animal. This matters because visible symptoms may appear only after an illness has progressed. Detecting change earlier can help farmers seek veterinary care sooner.

The collar continuously records these signals, while AI and machine learning compare the information to identify meaningful changes. A pattern linked to possible sickness can trigger an illness alert. Changes in activity or behaviour can also help identify a cow’s heat cycle, the short period when artificial insemination must happen. GPS adds location information when an animal moves away.

The technology does not replace farmers or veterinarians. Instead, it gives farmers timely warnings and records that support decisions. Earlier illness alerts may reduce serious infections, while breeding alerts can improve timing. GPS helps solve a separate practical problem: finding cattle that wander while grazing.

What happens to farmers’ work, milk production and animal care when they receive these alerts?

Alerts change dairy work by giving farmers information at the moment it may matter most. Instead of relying only on visible symptoms or memory, farmers can respond to possible illness, breeding readiness or an animal’s location. Earlier action can support healthier cattle and reduce the risk of serious illness and infections.

Ankush Shelke’s five-cow dairy provides a concrete example. He receives heat-cycle and illness alerts, uses GPS to locate cows while they graze, and says each animal gives 2–3 litres more milk daily. Higher productivity helped him expand his dairy with more cows, buffaloes and calves. The article links these gains to the technology, but does not provide a controlled comparison.

For animal care, the main benefit is earlier attention. Farmers can seek veterinary help before symptoms become obvious and improve the timing of artificial insemination. For daily work, GPS reduces the effort of searching for animals. The company aims to connect these improvements with better incomes across major dairy states.

What is a cow’s heat cycle, and why does identifying it improve the timing of artificial insemination?

A cow’s heat cycle is the short period identified in the article as the right window for artificial insemination. Recognising this period matters because the breeding procedure must be timed to it. If farmers miss the window, the opportunity for that insemination may be lost and breeding may become less efficient.

The Connected Cow Collar continuously tracks activity, movement and behaviour. AI and machine learning examine changes in those signals and detect patterns associated with a heat cycle. The system then sends an alert to the farmer’s phone. This gives the farmer a practical prompt instead of requiring constant observation of every animal.

The article says these alerts can improve breeding outcomes. It does not provide a specific conception rate or number of additional calves. However, timely information can help farmers coordinate artificial insemination more effectively. Better breeding timing may also support productivity and herd expansion, as seen in the broader dairy improvements described for Ankush Shelke.

How can changing cattle feed reduce methane emissions while potentially creating carbon-credit income for farmers?

eVerse.AI’s methane programmes focus on changing cattle feed. The company promotes balanced feed through its Maharashtra Methane Mission and Banas Methane Programme. The stated aim is to reduce methane emissions while improving milk yield, linking environmental action with farm productivity.

The mechanism described is straightforward: participating farmers provide cattle with balanced feed, which the company says can lower livestock emissions and improve milk production. The article does not specify the feed formula or quantify the methane reduction. It also does not describe how emissions are measured for each farm.

Lower emissions can potentially generate carbon credits. These credits could give participating farmers another income stream, while helping connect climate finance with rural communities. The programmes show that eVerse.AI is extending beyond health, breeding and GPS tracking. Its wider plan combines digital livestock information, improved productivity and emissions reduction for dairy communities.

How do sensors, GPS, internet-connected devices and machine learning turn raw animal data into useful predictions and alerts?

Sensors on the collar collect raw measurements from the animal, including temperature, activity, movement and behaviour. An internet-connected device sends this information to digital systems for analysis. GPS supplies location data, which is especially useful when a cow wanders away. This matters because farmers receive information without having to observe every animal continuously.

Machine-learning systems examine the incoming data and look for changes or patterns. eVerse.AI’s AI can use those changes to identify possible illness or detect a heat cycle. The system then sends alerts to farmers’ phones. GPS information helps farmers locate animals, while the Connected Cow app stores health, medical and productivity records. CowGPT adds guidance through WhatsApp using text or voice notes.

The result is a chain from measurement to action: sensors gather data, connected systems transmit it, AI analyses it, and alerts reach the farmer. The article says CowGPT works in multiple Indian languages. It does not provide technical details about the sensors, internet network or machine-learning model.

Key Facts:

📌 The Connected Cow Collar tracks temperature, activity, movement and behaviour.

📌 AI analyses collar data to identify changes farmers may miss.

📌 GPS helps farmers locate cows that wander away.

📌 More than 40,000 AI collars have been deployed.

📌 Ankush Shelke uses the system in his five-cow dairy.

📌 eVerse.AI partners with Amul, Banas Dairy and Mother Dairy.

📌 Temperature changes may signal illness before visible symptoms appear.