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Livestock 

Satellite IoT in Livestock Management

IoT application in livestock management

Modern farmers are managing their livestock by ramping up the digitalization of their daily production, and the use of IoT-enabled collars or tags or even ingestible IoT sensors is becoming ubiquitous in the livestock sector.

Using ingestible IoT sensors or collar IoT sensors, farmers can monitor the health and reproduction of their cattle by analyzing data derived from several parameters, including inner body temperatures, pH levels, movement activity, and rumination times. This technology enables early detection of potential ill health before it becomes evident, improving the fertility of the cows.

As a result, farmers can have a more granular level in farming than in the past, making farming more profitable.


Challenge of the livestock sector: connectivity

Nonetheless, livestock farming often occurs in rural areas, where there is little or no terrestrial connectivity due to a lack of infrastructure. 


Our solution: satellite IoT connectivity under standard-based 5G NTN NB-IoT protocol

And that is why Sateliot’s offering is the best solution for the IoT application in livestock management. Our fleet of nanosatellites in Space serves as cell tower, offering global and continuous 5G connectivity, allowing the commercial NB-IoT devices to connect directly to Space, ensuring 100% global coverage!

We provide IoT connectivity over standard 5G NB-IoT protocol, so the price of our satellite connectivity is almost comparable to terrestrial connectivity, unlike traditional satellite operators that use proprietary technology, which makes it expensive.

Sounds interesting to you?


Book a free trial now!

Are you an IoT value-added service (IoT-VAS) company in farming? Looking to serve the farmers with seamless and ubiquitous global connectivity for your solutions. Contact us now to book a free trial to test our World's first satellite-based NB-IoT connectivity, let us help you to bring your services to the next level!

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Use cases

01
Health monitoring for preventive care
02

 Animal location tracking 

03

Precise analytics of grazing patterns

04

Breeding practices optimization

05

Maximizing livestock livelihood

06
Monitoring reproductive cycle