03050nam a22003137a 4500 OSt 20260616102409.0 260616b |||||||| |||| 00| 0 eng d English TUPM TUPM rda BTH TK 5105.59 D86 2025 Dumapit, Joanna Mariel T. Author 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. rdacontent rdamedia rdacarrier Bachelor's Thesis College of Industrial Technology..- Bachelor of Engineering Technology Major in Electronic Communications Technology: Technological University of the Philippines, 2025. Includes bibliographic references and index. Swine farming is a cornerstone of global food security, yet remains highly vulnerable to rapid disease outbreaks like African Swine Fever (ASF). Traditional health checks rely on manual observation, which is often slow, labor-intensive, and prone to missing early red flags such as lethargy or appetite loss. The rationale for this study stems from the immense economic burden of these diseases; for instance, ASF caused an estimated PHP 50 billion loss in the Philippines, highlighting the inadequacy of existing diagnostic tools for smallholder farms. Consequently, the objective of the study was to develop an IoT-based Swine Monitoring System for early symptom detection to assist resource-limited farmers. The methodology involved fabricating a waterproof, 3D-printed prototype integrated with an ESP32 microcontroller and a comprehensive suite of sensors. The system utilized an AMG8833 IR thermal camera for non-contact body temperature monitoring, an HTU21D sensor for environmental temperature and humidity, and PIR and ultrasonic sensors to track animal movement and feeding behavior. Data was transmitted via MQTT protocol to a dedicated cloud platform called "Babekare," enabling real-time monitoring and immediate alerts. Experimental results demonstrated high precision, with average percentage errors of 1.50% for thermal readings, 1.60% for motion detection, and 0.28% for food intake monitoring. While reliability remains sensitive to network stability and sensor calibration, the system proved effective in identifying early physiological signs of illness. This IoT solution promotes sustainable livestock practices, reduces economic losses, and improves overall herd health outcomes. Keywords: Internet of Things (IoT), Swine Health Monitoring, Thermal Sensor Electronic Communications Technology Internet of Things (IoT) Swine Health Monitoring Odones, Miguel P. Author Roda, Rosel M. Author Sapungan, Johnelle Irish T. Author lcc BTH CIT 0 0 0 lcc 0 0 TUP TUP Bachelor's Thesis CIT-2F 2026-06-16 Donation BTH-6962 0 BTH TK 5105.59 D86 2025 BTH0006962 2026-06-16 2026-06-16 BTH CIT 31532 31531