Smart pig farming solutions and measures usually include the following core components:
IoT Devices & Monitoring Systems:
Environmental monitoring: Deploy various sensors, such as temperature and humidity sensors, ammonia concentration detectors, carbon dioxide monitors, etc., to collect environmental data in the pig house in real time, and automatically adjust ventilation, air conditioning, dehumidification and other equipment through the intelligent control system to ensure that pigs live in a suitable environment.
* Monitoring: Install high-definition cameras to achieve 24-hour all-weather monitoring, combined with AI image recognition technology can be used for pig behavior analysis, abnormal situation early warning (such as fighting, sick and weak pig identification).
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Intelligent Identification and Traceability System:
Individual identification: Use RFID ear tags or electronic tags to identify each pig, and record its birth, growth and development, immunization, feed consumption, disease** and other life cycle information.
Traceability system: Establish a complete breeding information database and traceability platform, so that all links of pork products from the source to the table can be tracked and queried, and food safety can be guaranteed.
Automated Feeding Management System:
Precise feeding: The use of intelligent feeding equipment, according to the nutritional needs of pigs at different stages of the tailor-made feed formula, and according to the weight, growth stage of regular quantitative feeding, reduce labor costs, improve feed conversion rate.
Drinking water management: The intelligent water supply system is also implemented to ensure that the pigs can get clean and hygienic drinking water at any time.
Health Management & Disease Early Warning System:
Physiological parameter monitoring: Through non-contact physiological parameter acquisition equipment, monitor pig body temperature, heart rate and other vital signs, combined with big data analysis technology to ** health status and disease risk.
Epidemic prevention and control: rely on the information system to track the vaccination status in a timely manner and do a good job in epidemic prevention; As soon as an anomaly is detected, an emergency response mechanism is immediately activated.
Reproductive Performance Management System:
Sow estrus monitoring: AI algorithms are used to analyze the behavior patterns of sows, accurately judge the estrus period, and improve the success rate of mating.
Piglet survival rate optimization: through the monitoring of the farrowing process and refined care, the piglet survival rate and growth quality are improved.
Data Analysis & Decision Support:
Report generation and analysis: The system automatically generates production tables and monthly reports, statistically analyzes the key indicators of pig farm operations, and provides decision-making basis for managers.
Intelligent early warning and strategy optimization: Based on the combination of historical data and real-time data, build a model** and warn potential problems in advance, and dynamically adjust the breeding strategy.