IoT- based Decision Support System for Poultry Care for Ilocos Sur Polytechnic State College

Abstract

The escalating global demand for high-quality agricultural products necessitates innovative approaches to meet future requirements sustainably. Poultry farming, a cornerstone of the agricultural sector, faces persistent challenges including disease outbreaks and environmental sustainability concerns. To address these challenges, stakeholders are increasingly turning to technological solutions such as the Internet of Things (IoT) for enhanced monitoring and management. This research focuses on designing and implementing an IoT-based Decision Support System for Poultry Care tailored to the needs of the Ilocos Sur Polytechnic State College (ISPSC) Sta. Maria Campus Egg Production Facility in the Philippines. Leveraging the Design Thinking framework and Agile Software Development Life Cycle, the system enables real-time monitoring of critical parameters such as temperature, humidity, and gas toxicity within poultry houses. The system aims to provide early warning mechanisms for proactive interventions, ensuring optimal conditions for poultry health and productivity. Usability evaluation results indicate strong agreement among users regarding the system's effectiveness, ease of use, and overall satisfaction. This study underscores the potential of IoT technologies to drive sustainable growth, improve productivity, and enhance decision-making in poultry farming operations.