Barisal, Bangladesh

1. 4/6/2022
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2. Presented By
Aminul Islam
Student,
Department of Computer Science &
Engineering,
University of Barishal
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Dept. of Computer Science and Engineering, University of Barishal
Supervised By
Md. Rashid Al Asif
Lecturer,
Department of Computer Science &
Engineering,
University of Barishal

3. o Objective
o Motivation
o Project overview
o Literature review
o Project framework
o Prototype Model
o Technologies
o Challenges
o Limitations
o Future work
o Demonstration
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Dept. of Computer Science and Engineering, University of Barishal

4. Water quality monitoring system for fish farming
To measure the water parameters
To encourage farmers
To predict near future data
To ensure proper growth of fish
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Dept. of Computer Science and Engineering, University of Barishal

5. [6]
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Dept. of Computer Science and Engineering, University of Barishal
 IoT is a revolutionary technological phenomenon in
modern era
 It can be implemented in the field of
water quality monitoring and controlling system
 In the southern part of Bangladesh, many people are
related to fish farm
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6. Author Title Finding
Geetha, S., and S. J. S. W.
Gouthami
Internet of things enabled real time
water quality monitoring system
IoT based system used to measure
parameters from sample water.
Datta, Sanjay, and Abhijit Pathak Monitoring Water Quality Of Karnaphuli
River To Save The Ecosystem In Real-
Time Environment
Collect real time water samples from
river and analysis this, after that
necessary action need to save
ecosystem
Joy Shah An Internet of Things Based Model for
Smart Water Distribution with Quality
Monitoring
Raspberry pi is used for data acquisition
from different sensors and data
analyzed at cloud
Huan, Juan, et al Water Quality Monitoring System for
Aquaculture Ponds Based on NB-IoT
Developed a water quality monitoring
system for aquaculture ponds based on
the narrow band of things (NB-IoT)
technology
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Dept. of Computer Science and Engineering, University of Barishal

7. To build a prototype model
To use pH, temperature, turbidity and water level sensors
To collect sensor’s data and save local server
To predict this data for future
To ensure proper growth of fish
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Dept. of Computer Science and Engineering, University of Barishal

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Dept. of Computer Science and Engineering, University of Barishal
Arduino Uno
LCD Display
Breadboard
Jumper wire
Wi-Fi shield
Hardware Components
pH
Temperature
Turbidity
Water Level
Sensor Components

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Dept. of Computer Science and Engineering, University of Barishal

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Dept. of Computer Science and Engineering, University of Barishal

11. Security and privacy
Sensor networks
Monitoring
Performance
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Dept. of Computer Science and Engineering, University of Barishal

12.  To show dataset from sensors
 By using machine learning algorithm to predict future data
 To show comparison table for real data and near future data
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Dept. of Computer Science and Engineering, University of Barishal

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Dept. of Computer Science and Engineering, University of Barishal

14. Could not measure others parameters
Avoid GSM module for the lack of budget
Could not send data in user’s mobile
Could not deployed local area
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Dept. of Computer Science and Engineering, University of Barishal

15. To measure the water parameters
To use GSM module to send data in users mobile
To develop for local area
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Dept. of Computer Science and Engineering, University of Barishal

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Dept. of Computer Science and Engineering, University of Barishal
[1] Geetha, S., and S. J. S. W. Gouthami. "Internet of things enabled real time water quality monitoring system." Smart
Water 2.1 (2016): 1-19.
[2] Datta, Sanjay, and Abhijit Pathak. "Iot Based Low-Cost System For Monitoring Water Quality Of Karnaphuli River To
Save The Ecosystem In Real-Time Environment.“
.[3] Joy Shah, “An Internet of Things Based Model for Smart Water Distribution with Quality Monitoring” 2017
International Journal of Innovative Research in Science, Engineering and Technology.”
[4] Huan, Juan, et al. "Design of water quality monitoring system for aquaculture ponds based on NB-IoT." Aquaculture
Engineering 90 (2020): 102088.
[2] Nasser, A. Ali, L. Karim and S. Belhaouari, "An efficient Wireless Sensor Network-based water quality monitoring
system,"2013. ACS International Conference on Computer Systems and Applications (AICCSA), Ifrane, 2013, pp. 1-4.
[6] https://fisheries.portal.gov.bd/sites/default/files/files/fisheries.portal.gov.bd/page/4cfbb3cc_c0c4_4f25_be21_b9
1f84bdc45c/Fisheries%20Statistical%20Yearboook%202017-18.pdf

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Dept. of Computer Science and Engineering, University of Barishal