Pain Point


High management difficulty:

Relying on manual counting makes it impossible to establish livestock profiles and generate cyclic data, increasing the risk of counting errors that can lead to economic losses.

Low level of automation:

The level of automation in the breeding process is inadequate, resulting in ineffective monitoring of livestock temperature and activity data.

Ineffective disease prevention and control:

Dependence on manual inspections to identify diseases results in poor prevention and control measures, leading to a higher rate of passive culling.

Describe

The Sinoagriot smart ear tags are equipped with a proprietary temperature sensor and a three-axis accelerometer. In addition to enabling precise identification of livestock, they can collect data on body temperature and activity levels, subsequently transmitting the gathered information in real-time to software. Utilizing scientific algorithms, the software can identify anomalies among the cattle based on activity data. Furthermore, the platform allows for the establishment of electronic fences to monitor abnormal behaviors in livestock, thereby facilitating automated alerts.

Value

Health management

Monitoring step counts and body temperature are critical behavioral indicators that can directly reflect the health status of livestock. Many diseases in livestock are febrile in nature, with elevated body temperature occurring early in the disease process. Implementing proper temperature monitoring allows for early detection and treatment. Additionally, when livestock are ill, their feed intake and activity levels typically decrease. Conversely, during estrus, activity levels tend to increase. Other conditions, such as limb diseases, can also lead to an overall reduction in physical activity. Therefore, by monitoring body temperature and activity data, we can effectively assess the health and estrous status of individual animals and take timely corrective actions.

Environmental monitoring

The smart environmental control system utilizes monitoring devices installed in the livestock farming facilities to comprehensively and continuously assess, collect, and document the environmental parameters such as temperature, humidity, and concentrations of harmful gases (ammonia, hydrogen sulfide, carbon dioxide, methane, etc.), as well as light intensity and wind speed. It intelligently manages equipment such as fans, sprinklers, and lighting to ensure a comfortable living environment for the livestock. Staff members can access the software platform via an APP to obtain real-time environmental monitoring data and facilitate remote control, thereby achieving scientifically informed and efficient environmental management. The ultimate goal is to reduce operational costs while increasing productivity and enhancing the health of the livestock.


Benchmark case
丨Customer Demand
A large dairy farm utilizes traditional farming methods, making it challenging to prevent and detect diseases among the cattle; a slight lapse in attention can lead to widespread infection, potentially exacerbating health issues. The client seeks to implement real-time monitoring of vital signs and health status in the cattle, enabling timely alerts for any abnormal temperature or activity levels, thus reducing the mortality rate among the cows and improving milk quality, ultimately enhancing the profitability of each dairy cow.
丨 Solution
By equipping dairy cows with smart temperature-monitoring ear tags, I can monitor the temperature data of the animals in real-time. This allows for the early detection and treatment of any anomalies, subsequently reducing the risk of disease transmission. Utilizing temperature and activity data enables the monitoring of cow health and estrus status, facilitating disease and estrus alerts. Additionally, the ear tags are compact and lightweight, minimizing stress responses in livestock and enhancing animal welfare.
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