Algorithm for Autonomous Management of a Poultry Farm by a Cyber-Physical System

Area of Science:

• Agricultural Engineering
• Computer Science
• Automation Systems

Background:

• Traditional poultry farming faces challenges in precise environmental control, leading to inefficiencies and waste.
• The integration of Cyber-Physical Systems (CPS) offers potential for intelligent automation in agriculture.
• Optimizing production costs while maintaining high yield is a key objective in broiler meat farming.

Purpose of the Study:

• To develop and present a cost-effective Cyber-Physical System (CPS) for intelligent management of broiler poultry farms.
• To implement fully autonomous microclimate control for optimized production conditions.
• To enhance productivity, minimize waste, reduce operational costs, and minimize human error.

Main Methods:

• The study utilized a Cyber-Physical System (CPS) architecture for automated farm management.
• A Raspberry Pi 4 8 GB served as the central server.
• The system employed the free, open-source software OpenHAB 3.0 for cost optimization and parameter control.

Main Results:

• The proposed CPS enables intelligent management with autonomous microclimate control.
• Automated parameter adjustments are possible based on pre-set conditions and schedules, with operator override capability.
• The system is designed for high productivity, minimal waste, optimized costs, and reduced human error.

Conclusions:

• The developed Cyber-Physical System (CPS) offers a viable solution for intelligent and autonomous poultry farm management.
• The use of cost-oriented components, including Raspberry Pi and OpenHAB, makes the system economically feasible.
• This approach significantly improves efficiency, reduces errors, and optimizes costs in broiler meat production.