Dumapit, Joanna Mariel T. <br/><br/>
Development of IOT-Based Health Monitoring System for Swine/ 
Joanna Mariel T. Dumapit, Miguel P. Odones, Rosel M. Roda, and Johnelle Irish T. Sapungan..- 
 - Manila:  Technological University of the Philippines,  2025. 
 - vii, 135 pages:  29cm. 
<br/><br/> Bachelor's Thesis 
<br/><br/>College of Industrial Technology..- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Swine farming is a cornerstone of global food security, yet remains highly vulnerable to<br/>rapid disease outbreaks like African Swine Fever (ASF). Traditional health checks rely on<br/>manual observation, which is often slow, labor-intensive, and prone to missing early red<br/>flags such as lethargy or appetite loss. The rationale for this study stems from the immense<br/>economic burden of these diseases; for instance, ASF caused an estimated PHP 50 billion<br/>loss in the Philippines, highlighting the inadequacy of existing diagnostic tools for<br/>smallholder farms. Consequently, the objective of the study was to develop an IoT-based<br/>Swine Monitoring System for early symptom detection to assist resource-limited farmers.<br/>The methodology involved fabricating a waterproof, 3D-printed prototype integrated with<br/>an ESP32 microcontroller and a comprehensive suite of sensors. The system utilized an<br/>AMG8833 IR thermal camera for non-contact body temperature monitoring, an HTU21D<br/>sensor for environmental temperature and humidity, and PIR and ultrasonic sensors to track<br/>animal movement and feeding behavior. Data was transmitted via MQTT protocol to a<br/>dedicated cloud platform called "Babekare," enabling real-time monitoring and immediate<br/>alerts. Experimental results demonstrated high precision, with average percentage errors of<br/>1.50% for thermal readings, 1.60% for motion detection, and 0.28% for food intake<br/>monitoring. While reliability remains sensitive to network stability and sensor calibration,<br/>the system proved effective in identifying early physiological signs of illness. This IoT<br/>solution promotes sustainable livestock practices, reduces economic losses, and improves<br/>overall herd health outcomes.<br/><br/>Keywords: Internet of Things (IoT), Swine Health Monitoring, Thermal Sensor 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electronic Communications Technology<br/>Internet of Things (IoT)<br/>Swine Health Monitoring
<br/><br/><label>LC Class. No.: </label>BTH TK 5105.59  / D86 2025