BACKEND SYSTEM FOR NILE TILAPIA (OREOCHROMIS NILOTICUS CULTIVATION MANAGEMENT SYSTEM
The application of a nile tilapia fish cultivation management system is an application designed for monitoring and providing actionable recommendations for nile tilapia fish cultivation ponds. This system utilizes IoT Smart Water Meters to determine the physiochemical parameters of the water. A b...
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Main Author: | |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/76686 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The application of a nile tilapia fish cultivation management system is an
application designed for monitoring and providing actionable recommendations for
nile tilapia fish cultivation ponds. This system utilizes IoT Smart Water Meters to
determine the physiochemical parameters of the water. A backend system is
essential to support the application's operation through a server, thereby reducing
the load on user devices. Water quality sensors within the ponds are connected to
the Antares cloud IoT platform and integrated with the backend system to store
sensor data and provide real-time information. The backend system is linked to
machine learning components to offer predictions regarding water quality, enabling
proactive measures and user notifications. System testing encompasses evaluating
overall application functionality and system load-handling performance. Test
results indicate that the backend system architecture, utilizing the FastAPI
framework and two communication protocols, efficiently supports connections
with the smart water meter device, database, and mobile application. The
implementation of a NoSQL database also facilitates structured storage of
periodically collected sensor data. The developed system architecture aligns with
the performance expectations of the application. |
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