Design and Implementation of Poultry Farming Information Management System Based on Cloud Database

Area of Science:

• Agricultural Science
• Information Technology
• Animal Science

Background:

• Poultry farming in China faces challenges including scalability issues, low profitability, and outdated information management systems.
• Existing systems often lack efficiency, safety, and comprehensive data handling capabilities.

Purpose of the Study:

• To design and develop a safe and efficient information management system tailored for poultry farming.
• To overcome bottlenecks in farm management, enhance profitability, and modernize data handling in the poultry industry.

Main Methods:

• The system comprises three layers: an information sensing layer (wireless sensor network), a data service layer (cloud database), and a management system application layer.
• The information sensing layer collects real-time production and farming data from within poultry houses.
• The data service layer leverages cloud databases for flexible and scalable data storage, avoiding local server complexities.

Main Results:

• The management system application layer includes modules for poultry disease detection, enabling visual management and promoting healthy farming practices.
• The system's modular design ensures independent operation and inter-module cooperation, providing wide functional coverage and high service efficiency.
• Prototype testing validated the performance of the wireless sensor network and cloud database in acquiring and managing poultry farming information.

Conclusions:

• The developed poultry farming information management system offers a safe, convenient, and efficient solution for modernizing farm operations.
• The system's architecture enhances flexibility, scalability, and data management capabilities, addressing key industry challenges.
• The successful prototype demonstrates the system's potential to improve overall poultry farm management and profitability.