Abstract
The Smart Incubator for ItikPINAS is an IoT-based solution that enhances hatch rate efficiency in ItikPINAS farming. This innovative system utilizes IoT sensors, data analytics, and a mobile application for real-time temperature monitoring and control. By continuously measuring and maintaining optimal temperature conditions, the incubator ensures successful egg incubation. The IoT sensors collect temperature data, transmitted wirelessly to a central control unit that triggers immediate actions if deviations occur. A mobile app providing farmers with real-time access to temperature and humidity readings, as well as alert capabilities. Extensive testing confirmed significantly improved hatch rates compared to traditional methods. The Smart Incubator offers scalability and adaptability, benefiting ItikPINAS farmers and potentially revolutionizing poultry incubation practices.
Keywords: Smart Incubator, IoT, ItikPINAS, Hatch Rate Efficiency, Temperature Monitoring, Poultry Farming
INTRODUCTION
Poultry production continues to grow due to rising demand, creating a need for more efficient and technology-supported practices. Egg incubation, especially for duck breeds like ItikPINAS, is critical for hatchability and overall productivity. Traditional methods rely on manual monitoring of temperature and humidity, making them prone to human error and inconsistencies.
Advancements in IoT technology offer solutions by enabling automated, real-time monitoring of incubator conditions. Smart incubators with IoT sensors can maintain stable temperature and humidity—key factors for embryo development and hatch rates. The ItikPINAS breeding program, managed by DOST-PCAARRD, aims to improve Philippine Mallard Duck production through science-based management. Integrating IoT-driven systems supports this goal by improving efficiency, data accuracy, and hatch success.
This study focuses on developing a Smart Incubator that automates temperature control, provides real-time tracking, data logging, and alerts, and addresses the challenges of manual incubation, including human error, inconsistent monitoring, and difficulty maintaining optimal conditions.
STATEMENT OF THE PROBLEM
This study addresses the lack of an automated temperature monitoring system in existing incubators used in ItikPINAS operations. In the absence of automation, farmers rely on manual monitoring, which is often inconsistent, time-consuming, and vulnerable to human error—factors that can negatively impact hatch rates and embryo development. Manual observation increases the likelihood of inaccuracies, while failure to regularly check temperature and humidity may lead to unfavorable conditions for hatchability. Furthermore, inadequate monitoring systems limit the ability to respond quickly to sudden environmental changes inside the incubator. These challenges highlight the need for an automated IoT-based monitoring solution that provides accurate, consistent, and real-time data throughout the incubation process.
https://doi.org/10.65494/pinagpalapublishing.8
