IoT Solutions: Livestock Tracking and Health

Intelligent platform for animal monitoring and health management in livestock operations

Modern livestock farming needs accurate and real-time information

The performance of a livestock operation depends on animal welfare, their location, daily activity, and environmental conditions.

Without updated data, it is difficult to detect health problems, lost animals, environmental risks, or behavioral variations.

Livestock Tracking and Health with IoT and AI allows continuous monitoring of herd status from a cloud platform, providing clear and actionable information to improve productivity and reduce risks.

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Complete visibility of livestock in a single panel

The platform integrates information from various sources available on the farm:

• Livestock location
• Daily activity
• Mobility by zone
• Health and welfare parameters
• Operational history
• Relevant environmental data

All this information is consolidated in a centralized dashboard that shows:

• Where the animals are
• How they have moved
• Which groups show behavioral changes
• Which require immediate attention

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IoT data to understand real field behavior

Each farm operates with different recording methods and sensor types.

That's why the platform is designed to receive data from:

• Already installed third-party devices
• Existing location collars or tags
• Digitized manual records
• Internal livestock systems
• Local infrastructure with connectivity

It does not depend on specific hardware.

The value lies in the analytics and intelligence applied to existing data.

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AI for health, behavior, and early prediction

The artificial intelligence module analyzes movement patterns, activity, and environmental conditions to offer key insights:

🐄 Detection of unusual behaviors

Identifies reductions in mobility, isolation, restlessness, or variations that may indicate disease or stress.

🩺 Early warning signs of health risks

AI finds patterns suggesting possible problems before they manifest externally.

📍 Location and route analysis

Helps understand land use, high-traffic zones, or areas requiring operational adjustments.

🌡️ Relationship between environment and welfare

Correlates climate, temperature, and livestock activity.

🔍 Comparative analysis between groups

To identify differences in behavior, growth, or consumption.

This approach positions the livestock operation within the Industry 4.0 standard.

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Key system indicators

The platform offers essential KPIs for livestock management:

• Average daily activity
• Mobility variation by group
• Permanence zones and dominant behaviors
• Health trends by herd
• Alerts for isolation or irregular movements
• Distribution heat maps
• Impact of environmental conditions
• Relevant behavioral events

This enables clear and continuous evaluation of livestock status.

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Benefits for the operation

✅ Reduction of losses from lost animals

✅ Early disease detection

✅ Better control of livestock movement

✅ Faster and more precise decision-making

✅ More effective grazing management

✅ Reduction of environmental risks

✅ Continuous monitoring from anywhere

✅ Greater efficiency in resource use

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Practical example

A group of animals significantly reduces their mobility during the early morning hours.

At first glance, it may seem like normal behavior, but the AI detects an anomaly compared to their history.

The platform generates an alert:

"Group 3 shows 35% lower activity than normal trend. Possible onset of health problem."

This allows intervention before the situation worsens.

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For different types of livestock operations

The platform can be used in:

• Cattle farming
• Sheep and goats
• Pig farming
• Buffalo
• Extensive or semi-confined livestock
• Research projects
• Agricultural educational institutions

It can operate 100% in the cloud or also be evaluated in hybrid configurations depending on the farm's existing infrastructure.

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Part of the 2025 Roadmap

Livestock tracking and health are key components of Nissi Energy's 2025 Roadmap.

Currently developing:

• AI-based behavior analysis models
• Early detection of health risks
• Advanced movement visualization
• Heat maps and zone analysis
• Welfare projections based on environment
• Flexible integration of existing livestock data

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🟩 Note for farms and organizations interested in IoT innovation

We are looking for livestock operations, institutions, and rural organizations interested in participating as early partners in implementing these intelligent capabilities.

If your farm wants to:

• Improve animal welfare
• Automate livestock supervision
• Obtain real-time visibility
• Evaluate IoT and AI-based solutions

We can establish an early implementation agreement, with exclusive benefits for the first participants.

Contact us to coordinate an exploratory meeting.

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Conclusion

The livestock farming of the future will be more precise, connected, and preventive.

An IoT platform with AI allows real-time livestock monitoring, anticipates health risks, and optimizes daily farm management.

This solution is designed to accompany organizations in their transition to modern, sustainable, data-driven livestock farming.