Dela Cruz, Sharmaine M.  <br/><br/>
Poseidon:   pond oxygen sensor for enhanced identification and detection of need/ 
Sharmaine M. Dela Cruz, Jenn Carla H. Gutierrez, Charls Angelo B. Iglesias, and Alyssa Mae V. Valencia.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - xiii, 120pages:  29cm. 
<br/><br/> Bachelor's thesis 
<br/><br/>College of Industrial Technology.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> The POSEIDON study (Pond Oxygen Sensor for Enhanced Identification and Detection of<br/>Need) is designed to maintain the health of fishpond waters. The system uses sensors to<br/>monitor dissolved oxygen, temperature, and the total dissolved solids (TDS) of the pond<br/>water quality. The data collected by these sensors is notified and displayed on a mobile<br/>app, making it simple for users to understand their pond’s condition, if the pond is exposed<br/>to a clean or dirty environment. An ESP32 microcontroller ensures flawless wireless<br/>connectivity, while the system’s solar-powered design makes it both energy-efficient and<br/>environmentally friendly. The device’s ability to provide continuous data helps users make<br/>informed decisions about maintaining excellent pond environments. While challenges like<br/>sensor maintenance and Wi-Fi dependency exist, these do not overshadow its practical<br/>benefits. The system is particularly useful for aquaculture and environmental management,<br/>offering a flexible and inclusive solution for preserving water quality. By helping users<br/>protect aquatic life and maintain ecological balance, POSEIDON is a significant step in<br/>sustainable pond management. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Dissolved oxygen<br/>TDS<br/>ESP32 microcontroller
<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / D45 2025