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
- 2. O utline Introduction Problem statement Objective Literature Review Methodology Result and Discussion Conclusion References
- 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
- 8. Hardware System Design Total Dissolved Solid (TDS) sensor
- 9. Methodology
- 10. TDS sensor Block Diagram Android phone + Thingviews apps + Android apk(databased) Water Filter Temperature sensor UV light Arduino mega (ESP8266)
- 11. Monitoring the Growth of Oreochromis niloticus Length of Oreochromis niloticus (cm) Weight of Oreochromis niloticus (gram)
- 13. Design of The Fish Tanks Control and Monitoring System
- 14. LCD DISPLAY
- 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
- 17. Effect of water monitors and control system on Oreochromis Niloticus
- 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
- 23. Reference
- 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.
- 25. Thank you