Livestock Internet of Things: Application of the Internet of Things in Livestock Farming
Release time:
2022-04-13
Traditional chicken farming methods are relatively backward, failing to provide timely insights into chicken growth and optimal living conditions, often resulting in low profitability. Modern chicken coop environmental control systems enable scientific chicken farming. By constantly monitoring the coop environment, key parameters are tracked, and using existing hardware and monitoring equipment, an ideal environment for chicken growth is precisely created. This generates significant economic benefits for customers.
With the development of technology, Internet of Things (IoT) technology based on "perception" has rapidly developed and its industrialization has gradually penetrated into all walks of life. The development of IoT in animal husbandry, including animal husbandry, is also very rapid. Below, Top Cloud Farm's editor will introduce the Internet of Things in animal husbandry: the application of the Internet of Things in animal husbandry.
The Internet of Things is a network connecting things to each other. Through information sensing equipment such as sensors, radio frequency identification, and positioning systems, it connects objects to the Internet for information communication and exchange, realizing intelligent identification, tracking, positioning, monitoring, and management. A new type of technology. Animal husbandry IoT can be regarded as the application of IoT in animal husbandry. IoT + animal husbandry will revolutionize animal husbandry in breeding, environment, feeding, animal diseases, and quality traceability. Traditional breeding techniques and management experience will be replaced by precise breeding management systems and information-based business models.
As we all know, the breeding environment directly affects the quality of livestock products. Due to the scale of large-scale breeding, the requirements for the control of the breeding environment are also constantly increasing. Using the Top Cloud Farm animal husbandry IoT system can efficiently and accurately manage the breeding environment, allowing animals to be in the best growth environment, ensuring their healthy growth. This system and equipment have been successfully applied in many large-scale cattle and pig farms and have been fully affirmed, solving the problem of customers' precise control of the environment.
The main functions of the animal husbandry IoT system are:
1. Environmental data monitoring:
Sensors installed in the sheepfold can display information such as ammonia concentration, CO2 concentration, light intensity, and air temperature and humidity through data reports, change curves, and real-time images. Users can log in to the environmental monitoring management platform to view the environmental parameters in any time period in the sheepfold. By analyzing the data charts, the growth environment of the sheep can be traced, thereby providing suggestions for the user's production management work and ensuring that the flock grows in a suitable environment.
2. Video surveillance:
Video surveillance technology is used to deploy high-definition cameras in areas that need to be monitored. The on-site situation is controlled in real time through the network. The lens direction, focal length, aperture, etc. of the camera can be adjusted through the network to obtain clearer and more suitable on-site images, thus intuitively reflecting the growth environment and dynamics of the flock, so as to cope with various emergencies that occur during the growth of sheep.
3. Software platform:
Remote data real-time viewing parameters and automatic control functions. According to the target parameters and the deviation between the actual parameters and the changes in the indoor environment, the collector can calculate and automatically control equipment such as fans, lights, and water curtains to achieve ventilation, supplementary lighting, and cooling to ensure that the sheep grow in a suitable environment. Through large-screen display, environmental data and video information are combined to facilitate production management personnel to accurately control the on-site situation.
4. Intelligent decision-making:
According to the collected environmental parameters, through the intelligent decision-making management system, alarm limits can be set to achieve SMS alarms, email alarms, and remote control. Users can set the alarm limits for each sensor in the intelligent decision-making management system. When the alarm limit is exceeded, alarm SMS and alarm emails are sent to the pre-set mobile phone number and email address to remind users to take appropriate measures to ensure that the on-site environmental conditions are suitable for the growth of sheep.
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