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.--
Material type:
TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xiii, 120pages: 29cmContent type: - BTH QA 76.9 D45 2025
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Bachelor's Thesis CIT
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TUP Manila Library | Thesis Section-2nd floor | BTH QA 76.9 D45 2025 (Browse shelf(Opens below)) | c.1 | Not for loan | BTH0006583 |
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Bachelor's thesis
College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2025.
Includes bibliographic references and index.
The POSEIDON study (Pond Oxygen Sensor for Enhanced Identification and Detection of
Need) is designed to maintain the health of fishpond waters. The system uses sensors to
monitor dissolved oxygen, temperature, and the total dissolved solids (TDS) of the pond
water quality. The data collected by these sensors is notified and displayed on a mobile
app, making it simple for users to understand their pond’s condition, if the pond is exposed
to a clean or dirty environment. An ESP32 microcontroller ensures flawless wireless
connectivity, while the system’s solar-powered design makes it both energy-efficient and
environmentally friendly. The device’s ability to provide continuous data helps users make
informed decisions about maintaining excellent pond environments. While challenges like
sensor maintenance and Wi-Fi dependency exist, these do not overshadow its practical
benefits. The system is particularly useful for aquaculture and environmental management,
offering a flexible and inclusive solution for preserving water quality. By helping users
protect aquatic life and maintain ecological balance, POSEIDON is a significant step in
sustainable pond management.
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