Abstract:

To address common challenges in beef cattle production, including incomplete information, low management efficiency, and disconnected data between software and hardware, this study developed a beef cattle farm production management system based on full-process management requirements. The system employs Spring Boot as the backend framework and Vue as the frontend framework. It integrates lifecycle data of cattle and provides seven core functional modules: organization management, herd management, health management, breeding management, environmental management, materials management, and statistical reporting. The system supports standardized management of key production records, including animal profiles, breeding and mating, disease and immunization records, body weight and body measurements, pen transfers, and cattle off-take. In addition, LoRa-based self-organizing wireless environmental monitoring devices and the Ezviz Cloud video surveillance interface were integrated to connect software services with on-farm sensing and monitoring hardware, enabling unified data acquisition and management. The system was tested at a beef cattle farm in Heilongjiang Province under the National Beef Cattle Industry Technology System. During the pilot application, more than 5,300 animal records and over 10,000 production records were entered, and environmental data were collected and uploaded at 10-minute intervals. The results indicate that the system is user-friendly, stable, and scalable, improving data processing efficiency by more than 60% and significantly reducing errors associated with manual statistics, thereby promoting standardized and digitalized beef cattle production management. This system provides a practical and deployable solution for smart upgrading of beef cattle farming and offers a reference for developing information management systems in animal husbandry.

Key words: cattle, farming, production management, Spring Boot, Vue, system design, modular architecture, system application