The document describes a project to design and develop an IoT-based aquaculture monitoring and control system. It discusses:
- Issues with traditional aquaculture techniques like lack of monitoring of water parameters and overfeeding.
- The objective is to design a system using sensors like TDS and temperature to automatically monitor and control water quality.
- Two fish tanks were set up, one with monitoring/control (Tank A) and one without (Tank B). Results showed the fish in Tank A had better growth in length and weight, and water quality was better maintained.
- The system uses an Arduino, sensors, and Android app to remotely monitor and control a water filter based on TDS
DESIGN AND DEVELOPMENT IOT APPROACH ON AQUACULTURE MONITORING (1).pptx
1. DESIGN AND DEVELOPMENT
IOT APPROACH ON
AQUACULTURE MONITORING
AND CONTROL SYSTEM
MOHAMAD AKRAM BIN ALIAS
181322539
RY 56
SUPERVISOR: MADAM NUR LAILINA BT MAKHTAR
3. Introduction
1. Aquaculture is a
method of
cultivating live
organisms in
freshwater or
saltwater.
2. Water is very
significant in
aquaculture.
3. Continuous
monitoring (real time)
of many water
parameters plays an
important role
5. Increase the
production and
quantity of fish
farmed
4. The use of
IoT is very
helpful
4. The use of traditional technology in fish
farming
Farmers do not worry about overfeeding can
water quality.
COVID-19 has affected the aquaculture
sector
Problem Statement
5. Objective
To design and develop IoT based approach on
aquaculture monitoring and control system
To study the effects of automatic temperature and
total dissolved solid (TDS) of water on fish growth
6. Literature Review
Author Method Disadvantage Sensor used
S.Balakrishnan • Water quality check
• Enviroment monitoring
• Web surveillance
platform
Too much sensor are used
make system more complex
• Ph sensor
• Do sensor
• Temperature sensor
• Conductance sensor
H,Rajib, S,Saha, and Kabir • Monitoring water quality.
• Using smart phone
camera to capture colour
of water.
Colour of water not so clear
because author jus using
phone camera to capture
colour of water
• Ph sensor
• EC sensor
• Temperature sensor
L.Parra, S.Sendra, L.García
and J.Llore
• Used smart alogorithm
system
Need web platfom to view
all data with automatically
• Light sensor
• Water level sensor
• Fish presence sensor
• Oil sensor
S.Pasika • Use several sensor to
measure parameter such
as ph turbidity sensor to
measure water quality
use expensive sensors for
small functions
• Ph sensor
• Turbidity sensor
• Ultrasonic sensor
7. G.Gao, K.Xiao and M.Chen • fishpond water-quality conditions
and parameters is readily adjusted
and assessed
• The system is divided into two
modules, i.e., an intelligent
management module and an aquatic
product tracking module
This system requires a lot of
capital and farmers cannot afford
to own this system
• Ph sensor
• Temperature sensor
• Do sensor
• Water level sensor
Idachaba et al • Monitoring water parameter
condition using variable sensor
• Using cctv to monitoring around
ponds
Using only one microcontroller to
control all complex system can
increase heat of microcontroller
• Water level sensor
• Ph sensor
• Temprature sensor
15. The TDS probe was connected to the
Signal Transmitter Board.
The analog output pin of the TDS
meter was connected to the analog
pin of the Arduino A1.
The positive pin of the TDS Meter was
connected to the 5 volt Arduino,
while the Negetive pin was connected
to the Arduino ground. Pin number 3
was a 16 × 2 LCD contrast pin and was
connected to the center leg of the
Variable Resistor.
the other two legs of the variable
resistor are connected with 5 volts
and Arduino ground.
Hardware System Design
18. Effect of water monitors and control system
on Oreochromis Niloticus in fish length
Tank A (control condition)
Tank B (uncontrol condition)
19. Effect of water monitors and control system
on Oreochromis Niloticus in fish weight
Tank A (control condition)
Tank B (uncontrol condition)
20. Reading of Temperature in Tank A and Tank B
Tank A (control condition)
Tank B (uncontrol condition)
Tank A by turning on the water filter when
the ppm value reaches 230ppm.
The highest temperature is 31.9°c and the
lowest temperature is 24.5°c.
tank B only uses a water filter that was turned
on every evening from 4 to 7 pm manually
The highest temperature is 34°c and the
lowest temperature was 26 °c.
21. Reading of TDS in Tank A and Tank B
Tank A (control condition)
Tank B (uncontrol condition)
The TDS value was drop sharply to a level of 90 to
110ppm when the water in the tank is changed.
Tank A is changed twice
The water in tank B is changed seven times
Tank A highest at 224ppm and The lowest 98ppm
Tank B highest 379ppm and lowest 110ppm.
22. Conclusion
In this project, material and tool components were selected
to create the design and structure. The best design system has
been selected to make the fish tank control and monitoring.
Control and monitoring fish tanks have been designed to monitor
and control the water in the tanks for Oreochromis Niloticus. The
effect of monitoring and controlling the water in the tank for
Oreochromis Niloticus is shown in terms of fish length and fish
weight. The effect of monitoring and controlling water in the tank
for Oreochromis Niloticus in fish length showed a significant
difference between tank A and tank B. The effect of monitoring
and controlling water in the tank for Oreochromis Niloticus in fish
weight showed a significant difference between tank a and tank B.
So, this project has been proven to monitor and control the water
in the tank for Oreochromis Niloticus. All project objectives listed
24. Reference
Idachaba, Francis & Olowoleni, Oluwole & Ibhaze, Augustus & Oni, Oluyinka. (2017). IoT
Enabled Real-Time Fishpond Management System.
Gao, Guandong & Xiao, Ke & Chen, Miaomiao. (2019). An intelligent IoT-based control
and traceability system to forecast and maintain water quality in freshwater fish farms.
Computers and Electronics in Agriculture. 166. 105013. 10.1016/j.compag.2019.105013.
Pasika, Sathish & Gandla, Sai. (2020). Smart water quality monitoring system with cost-
effective using IoT. Heliyon. 6. e04096. 10.1016/j.heliyon.2020.e04096.
Parra, Lorena & Sendra, Sandra & Garcia, Laura & Lloret, Jaime. (2018). Design and
Deployment of Low-Cost Sensors for Monitoring the Water Quality and Fish Behavior in
Aquaculture Tanks during the Feeding Process. Sensors. 18. 750. 10.3390/s18030750.
Saha, Sajal & Rajib, Rakibul & Kabir, Sumaiya. (2018). IoT Based Automated Fish Farm
Aquaculture Monitoring System. 201-206. 10.1109/ICISET.2018.8745543.
S, Balakrishnan & Rani.S, Sheeba & Ramya, K C. (2019). Design and Development of IoT
Based Smart Aquaculture System in a Cloud Environment.
