Development of aquapulse: an iot-based with data analytics for aquaponic farms/ Laurence C. Cabacang, Ericka Lhaine C. Donceras, Trisha Mae D. Figueroa, Jonathan C. Lopez, Kristine Joyce V. Orfrecio, and Jerwin M. Torreña.--

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Cabacang, Laurence C [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2024.Description: xii, 158pages: 29cmContent type:

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BTH QA 76.9 C33 2024

Dissertation note: College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2024. Summary: The study focused on the integration of IoT (Internet of Things) technology with data analytics to improve aquaponic farming through AQUAPULSE, an IoT-based system for real-time monitoring of the pH, ammonia, dissolved oxygen, light, temperature, and water level. This system aimed to optimize conditions for both plants and fish, improving resource utilization, reducing waste, and minimizing environmental impact. It was implemented in an aquaponic farm, where data from sensors were collected and analyzed to evaluate its performance. Testing focused on crop yield, fish health, and water quality stability, with hypotheses set to assess system efficiency. The study also included the evaluation of social acceptance through surveys and informal interviews. The results showed a 15% increase in crop yield and a 20% improvement in fish health compared to traditional aquaponic systems. Water quality remained stable, and nutrient usage was optimized. The system was evaluated using the ISO 25010:2023 framework, demonstrating high functionality, usability, compatibility, and effectiveness. Additionally, the hardware and software successfully underwent functionality and reliability testing, ensuring its reliability when used in practice. The ratio of accuracy was 88.33%, confirming the reliability of the system in the measurement of the water quality parameters. By integrating real-time monitoring and data analytics, the system successfully addressed the limitations of existing aquaponic systems, providing actionable insights for farmers. AQUAPULSE proved to be a reliable, scalable solution for modern aquaponic management, supporting sustainable agriculture and urban food production, and contributing to the advancement of smart farming technologies, which are crucial for future food security.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76.9 C33 2024 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0004093

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2024.

Includes bibliographic references and index.

The study focused on the integration of IoT (Internet of Things) technology with data
analytics to improve aquaponic farming through AQUAPULSE, an IoT-based system for
real-time monitoring of the pH, ammonia, dissolved oxygen, light, temperature, and water
level. This system aimed to optimize conditions for both plants and fish, improving
resource utilization, reducing waste, and minimizing environmental impact. It was
implemented in an aquaponic farm, where data from sensors were collected and analyzed
to evaluate its performance. Testing focused on crop yield, fish health, and water quality
stability, with hypotheses set to assess system efficiency. The study also included the
evaluation of social acceptance through surveys and informal interviews. The results
showed a 15% increase in crop yield and a 20% improvement in fish health compared to
traditional aquaponic systems. Water quality remained stable, and nutrient usage was
optimized. The system was evaluated using the ISO 25010:2023 framework, demonstrating
high functionality, usability, compatibility, and effectiveness. Additionally, the hardware
and software successfully underwent functionality and reliability testing, ensuring its
reliability when used in practice. The ratio of accuracy was 88.33%, confirming the
reliability of the system in the measurement of the water quality parameters. By integrating
real-time monitoring and data analytics, the system successfully addressed the limitations
of existing aquaponic systems, providing actionable insights for farmers. AQUAPULSE
proved to be a reliable, scalable solution for modern aquaponic management, supporting
sustainable agriculture and urban food production, and contributing to the advancement of
smart farming technologies, which are crucial for future food security.

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