MEET SUPERVISOR/RESEARCH
Date: 25/2/2019 (Monday) – 1/3/2019 (Friday)
This
week I meet my supervisor to the to explain the research that I have found
and reviews smart fish farming systems that demonstrate how
complex science and technology can be made easy for application in seafood
production systems.
In this
context, the focus of this project is on the use of Arduino in fish culture.
Arduino mimics some of the capabilities of the human brain via its Internet of
Thing (IoT) in performing certain tasks in a fish farming that is crucial
for aquaculture systems. Water quality is of utmost importance for survival,
growth and all other living activities of captive stocks of fish. The Arduino
based systems can be designed for controlling the main parameters of water
quality such as salinity, dissolved oxygen, pH and temperature. This systems
approach uses an application that runs on an application server connected to
multi-parameter water quality meters.
The
Application captures these parameter values from the sensor device and checks
if they are within the optimum range. If not, then an alarm system is triggered
for immediate remedial action that can be executed by the personnel handling
the farming management roles. This improves accuracy, saves cost and action
time to ensure sustainability life-supporting system in fish farming. Despite
the complexity in evolving this system, the application is simple enough to be
operated by an organized fish farming community. Because this study introduces
a rather new approach to aquaculture management, presentation of a detailed background
scenario was deemed necessary to put the pertinent issues in the right
perspective.
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