Case Study
London, UK
Dairy Farm
Apache Kafka, PostgreSQL, Python, C++, DeviceHive & Set of Protocols & SDK
The risks posed for disease introduction and spread are believed to be higher for smallholder livestock producers than commercial producers. Possible reasons for this is the notion that smallholders do not implement appropriate animal health management practices and are not part of traditional livestock communication networks. £5m lost annually to livestock disease. Customer needed real-time monitoring of livestock health for herds of up to 20K cattle.
- Lack of awareness and knowledge of diseases
- Attitudes toward monitoring disease
- Keeping of animal health records was less likely
- Radio propagation issues
- Swift identification and location of diseased livestock
- State machine code, Acquiring sensor data using I2C, analog and digital IO
- Data analysis and vital parameter extraction
- Entering Low power mode when not active
- Ability to roam among different Access Points
- Supports configuration and status extraction from Access Point
- Receive data from the ePill, which is implanted in the cattle
- The design is highly scalable supports up to 500 ePills at the same time.
- Basic status displays based on link availability, heartbeat mechanisms.
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