According to the Food Agriculture Organization of United States, aquaculture is an increasing industry in Pakistan, and it contributes to the 01% of GDP of Pakistan. The estimated total area covered by the fishponds in the country is about 60,470 ha and it is 49,170 ha only in Sindh (81.3%). About 5
Smart Aqua Culture system
According to the Food Agriculture Organization of United States, aquaculture is an increasing industry in Pakistan, and it contributes to the 01% of GDP of Pakistan. The estimated total area covered by the fishponds in the country is about 60,470 ha and it is 49,170 ha only in Sindh (81.3%). About 50,000 people are employed in this sector.
The United Nations (UN) has introduced its 17 sustainable development goals (SDG) aiming at protecting the planet and promoting prosperity for all. Aquaculture can contribute in achieving four of the seventeen goals.
• Goal No. 1 – No Poverty: Aquaculture has created about 80,000 jobs in E.U. alone. Moreover, according to the UN’s Food and Agriculture Organization (FAO), the contribution of aquaculture to the global fishing industry has increased nearly seven-fold between 1970 and 2000. As this industry will grow into more nations, the jobs in aquaculture will help reducing poverty.
• Goal No. 2 – Zero Hunger: Aquaculture has potential to produce 16.5 billion tons of fish per year; this helps feeding local population and contributes in catering global seafood demand.
• Goal No. 12 – Responsible Consumption and Production: Efforts are being made to further reduce the impacts aquaculture on the environment. individual fish farmers adopt water control management, responsible sourcing of juvenile fish, efficient fishmeal use and control of escapes. As the aquaculture will get strength, it will be the most depending choice to produce fish.
• Goal No. 14 – Life Below Water: Climate change has adverse effects fishing on a global scale. The targets set by the UN are to improve the responsibility of the operations of the around the world in order to reduce the burden on ocean.
Besides, the technological involvement in order to make existing systems smarter increase productivity and reduce efforts. Similarly, the IOT based aquaculture system will also increase the performance of the conventional aquaculture systems. This will further contribute in achieving the above-mentioned goals.
In this project, we will design and develop IOT based smart aquaculture system that is more suitable for our country, since we will initially target the issues in this industry in Pakistan. Different sensors will be deployed to monitor the status of different water parameters; dissolved oxygen, temperature, pH, hardness, chlorides, etc. The values of the monitored parameters will be displayed on smartphone. Moreover. this system will allow the fish farm managers to remotely control different pumps and valves for managing water level and dissolved oxygen level. Further, we aim to commercialize this product and contribute in the economy of our country.
• To design smart aquaculture systems to monitor water parameters and actuate pumps to circulate and change the water, maintain the dissolved oxygen level in the pond or tank.
• To design and develop mobile app for farm manager/owner to monitor and control remotely.
• To implement the designed smart aquaculture system and prototype as per industry requirements so that it could be commercialized.
• To work on the business plan for the commercialization of the aquaculture system for contributing the economy of the country.
First, we are gathering real issues being faced by local fish farmers and those will be focused to design IOT based smart aquaculture system. For the design phase, we are studying the existing similar products so that we could incorporate the solutions of the local issues too.
Initially, a basic android app will be developed in order to manage the fish farm remotely.
After designing, the smart aquaculture system will be prototyped for proper testing. The prototype version will be displayed among the concerned industry leaders to get the feedback before going to the market.
The industry level sensors and actuators will be used to monitor different water parameters. The power consumption will also be encountered while designing the system.
The UN has introduced seventeen sustainable development goals to protect the planet and promote prosperity for everyone. Since aquaculture system can contribute in achieving four of the seventeen goals; Goal No. 1, Goal No. 2, Goal No. 12 and Goal No. 14, the smart aquaculture system will further improve the results.
In conventional fish farming, the negligence from the staff may be experienced due to manual work and this can be a significant burden on the owner. This project will allow the farm owner and manager to have a close look even being away from the farm. Therefore, the yield can be improved significantly.
Our target is to design and prototype this project based on the market requirements, so that it could be commercialized. Therefore, this project will make the fish available in the market at economical rate so that more people could be able to get benefits of the fish nutrients. Moreover, this will encourage investors to invest in this industry that will not only increase the jobs but significantly contribute in the economy of the country.
This project is based on the IOT that is an emerging technology and it has wide range of applications. This project is to assist the fish farm manager in managing the farm in unconventional manner in order to improve the productivity and reduce the cost spent. The sensors to be used in this project will be of industrial level to get better monitoring of water parameters. In order to acquire the data from different sensors and control different motors and valves, raspberry pi will be used. This microcomputer is cost effective and equipped will essential communication controllers. Moreover, raspberry pi supports python language that is a powerful language.
For mobile app, we are working on designing the UI/UX on adobe XD and the getting basic knowledge regarding android studio.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi | Equipment | 1 | 6000 | 6000 |
| HDMI Cable | Equipment | 1 | 700 | 700 |
| USB to HDMI Cable | Equipment | 1 | 600 | 600 |
| SD Card (32 GB) | Equipment | 1 | 1000 | 1000 |
| Float switch (M15-20) | Equipment | 2 | 800 | 1600 |
| Digital Temperature senor Waterproof (DS18B20) | Equipment | 2 | 650 | 1300 |
| Turbidity sensor (TSW-20M) | Equipment | 2 | 6000 | 12000 |
| Dissolved Oxygen Analyzer (DO100B) | Equipment | 2 | 15000 | 30000 |
| PH Sensor Module (MTAM-1112) | Equipment | 2 | 6000 | 12000 |
| Arduino Mega 2560 | Equipment | 2 | 1400 | 2800 |
| !2V DC Motor Pump | Equipment | 1 | 2000 | 2000 |
| MIscellaneous | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
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