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Optimizing black tiger shrimp (penaeus monodon) growth using water, air, and food monitoring system/ Marco O. Eli, Christian Harvey U. Evangelio, Yna S. Garrote, Anton Karl B. Lubiano, and Gian Carlo R. Monsod.--

By: Contributor(s): Material type: TextTextPublication details: Manila: Technological University of the Philippines, 2025.Description: xii, 144pages: 29cmContent type:
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  • BTH TJ 213  F45 2025
Dissertation note: College of Industrial Technology.-- Bachelor of engineering technology major in instrumentation and control technology: Technological University of the Philippines, 2025. Summary: Aquaculture farming demand was increasing due to the decreasing supply of aquatic animals in the market. The black tiger shrimp industry faces challenges in optimizing shrimp growth resulting to increasing mortality rate. To address this, the study presents an automatic monitoring system for Penaeus monodon that tracks key parameters: temperature, pH level, ammonia, salinity, and dissolved oxygen—vital for shrimp development. The system uses Arduino and a Hostinger-based website to collect real-time data. Features include sensors for water level, an aerator pump, submersible pump, water heaters, and feeder to maintain optimal conditions. The system was assess through multiple testing to verify the functionality and overall performance of the system, including sensors and actuators. All sensors operated within acceptable percent error of 5% for temperature, pH, electrical conductivity/EC sensor, and 20% for ammonia/gas sensor, showing stable and reliable consistent readings. Actuators, including the automated feeder, water heater, aerator, and submersible pumps met operational and intended timing requirements. Real-time monitoring and control were achieved through smooth integration with the Hostinger web interface, with no data loss observed. Stress testing over 6 – 24 hours also confirmed overall system stability, with minimal sensor drift of less than 7%. The prototype was evaluated using five criteria: functionality, durability, safety, aesthetics, and economy. It received an overall mean score of 4.43, rated “Very Acceptable.” In conclusion, the study recommends using this water, air, and feeding monitoring system to enhance the efficiency and sustainability of shrimp farming in artificial aquaculture ponds.
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Bachelor's Thesis CIT Bachelor's Thesis CIT TUP Manila Library Thesis Section-2nd floor BTH TJ 213 F45 2025 (Browse shelf(Opens below)) c.1 Not for loan BTH0006556

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in instrumentation and control technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

Aquaculture farming demand was increasing due to the decreasing supply of aquatic animals in
the market. The black tiger shrimp industry faces challenges in optimizing shrimp growth resulting
to increasing mortality rate. To address this, the study presents an automatic monitoring system
for Penaeus monodon that tracks key parameters: temperature, pH level, ammonia, salinity, and
dissolved oxygen—vital for shrimp development. The system uses Arduino and a Hostinger-based
website to collect real-time data. Features include sensors for water level, an aerator pump,
submersible pump, water heaters, and feeder to maintain optimal conditions. The system was
assess through multiple testing to verify the functionality and overall performance of the system,
including sensors and actuators. All sensors operated within acceptable percent error of 5% for
temperature, pH, electrical conductivity/EC sensor, and 20% for ammonia/gas sensor, showing
stable and reliable consistent readings. Actuators, including the automated feeder, water heater,
aerator, and submersible pumps met operational and intended timing requirements. Real-time
monitoring and control were achieved through smooth integration with the Hostinger web
interface, with no data loss observed. Stress testing over 6 – 24 hours also confirmed overall system
stability, with minimal sensor drift of less than 7%. The prototype was evaluated using five criteria:
functionality, durability, safety, aesthetics, and economy. It received an overall mean score of 4.43,
rated “Very Acceptable.” In conclusion, the study recommends using this water, air, and feeding
monitoring system to enhance the efficiency and sustainability of shrimp farming in artificial
aquaculture ponds.

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