IoT Based Indoor Smart Fish Farming in Optimal Duration
As current human Population is 7.7 billion and growing day by day hence food demand is also increasing accordingly. Fish is a rich source of vitamins, minerals, protein, nutrients and micronutrients. It is an important part of consumer?s diet especially in poor and underdeveloped countries. It is a
2025-06-28 16:28:06 - Adil Khan
IoT Based Indoor Smart Fish Farming in Optimal Duration
Project Area of Specialization Internet of ThingsProject SummaryAs current human Population is 7.7 billion and growing day by day hence food demand is also increasing accordingly. Fish is a rich source of vitamins, minerals, protein, nutrients and micronutrients. It is an important part of consumer’s diet especially in poor and underdeveloped countries. It is a big challenge for farmer to fulfill market demand with healthy sea food. Aquaculture is a tool to fill gap between of sea food supply and demand. Use of controlled environment production of aquaculture has been increased to a significant level but losses huge due to manual equipment and management failure. Farmers need real time and accurate information to monitor and maximize production potential. Farmers are using traditional techniques and procedures for the aquaculture. By following traditional approach, farmer measure and monitors the water quality, water level, oxygen level and stress level of the aquaculture manually. In this study, we proposed an Internet of Things (IoT) based smart aquaculture model that will measure water quality (pH, water level, temperature, turbidity and motion detection of fish) for aquaculture. In this work uses low cost and short-range wireless sensors network module to monitor and control aquaculture in real-time.
Aquaculture involves the farming of aquatic life,
such as fishes. It's an area that has the potential to feed the world
in the future. A modern technological strategy is required to
develop the smart aqua farm. Aquafarming involves maintaining
water parameters such as temperature, dissolved oxygen, turbidity,
and pH level.
Water recycling mechanism also proposed to reduce the amount of aquatic waste materials. By using this system parameters of water are monitored continuously using a serial port which reduces internet consumption, transmitted data regularly with small latency with error free and ensures survival of aquatic life also ensures the quality of growth and increases the economic benefits of aquaculture. The system also detects the movements of fish in the pond
Project Objectives- Analysis of water pH ,TDs , d2o.
- Ulitilization of fish waste with the help of hydrophonic
The Temperature, pH, Turbidity and Wi-Fi Modules are all connected to the Arduino Uno R3 through breadboard by various jumper wires, while the Uno is also connected to
the battery. These sensors helped in collecting all parameter values from the fish pond. After collecting data from the fishpond, the ESP8266 Wi-Fi module sends it to the cloud through firebase, and for real-time access, we developed an android app. The android application provides remote access to the pond. The turbidity shows how much water is clean or opaque.
The actuators act upon the aquaculture environment based on instructions received from the IoTsystem. The proposed model primarily focuses on the continuous monitoring of parameters of water quality from time to time, to take inhibitory measures for
avoiding the actual damages in inhospitable environment. Proposed architecture uses different sensors (Temperature, PH water level, Turbidity, Motion detection). These sensors are configured with Arduino Uno for sensing and observing measurements in aquatic environment. Arduino Uno a low cost small computer board used as controller hub comprises with various analog and digital pins and operated with Arduino IDE software for interaction with computer system with controller using serial port. The previous proposed approaches by authors used cloud database for the storage of output data which makes the architecture costly by maximum consumption of internet, to overcome this consumption Computer system acts like a server host to compute and manage the output values generated through sensors are easily managed and the necessary data could be retrieved by user by consuming minimum cost of internet. This model provides us facility to avoid periodic computation of data
and internet cost of uploading. The proposed desktop application provides directly view to analyze the measurements and daily basis reports. For remote monitoring android application and web based application are proposed with interactive GUI (Graphic User Interface) provides services for a user to monitor the aquatic field. Motor pump and air pump is also
working automatically using actuator relays. Proposed architecture embedded with GSM modem in provide services as system alert which sends the notification to farmer if the aquatic pond is in critical condition. Moreover, advantage of GSM is when farmer does not have internet then this alert notification helps in emergency condition with feasible solution.
Benefits of the ProjectProposed system benefits the farmer both by reducing the cost of maintenance and by helping the fish grow healthily. The system is scalable, accurate and does not require any manual testing. We save labor costs, provide proactive intervention since critical
conditions are avoided, and monitor the water quality in real time by using this system.
Technical Details of Final DeliverableA. Server:
Firebase is used to save the data.
B. Application:
Android application has developed and used to view the
data and show the suggestions.
C. Architecture:
The Temperature, pH, Turbidity and Wi-Fi Modules
are all connected to the Arduino Uno R3 through breadboard
by various jumper wires, while the Uno is also connected to
the battery. These sensors helped in collecting all parameter
values from the fishpond.
DS18B20 – Temperature Sensor
It is a single wire sensor that is easy to program and used
to measure temperature. It can measure temperature
efficiently in many environments like in mines, soil or
chemical solutions, etc. It is also having the waterproof option. It has a wide measuring range that lies
between -55°C & +125° with an accuracy of ±5°C. It needs a
single pin to connect and transfer data to a microcontroller
and has a unique address. Therefore, it is useful when we have
to measure the temperature of the different environments in
different positions without tangling much of your wires or
digital pins on the microcontroller.
pH Sensor (SEN0161):
An analog SEN0161 is used to measure the pH of different
solutions. It is particularly developed to work with the
Arduino series. It features easy communication and integrated functions. It requires a BNC connector to
connect the sensor to Arduino. The PH range is from 0 to 14.
It is ±0.1 pH accurate at a standard temperature of 25-30°C.
Only the tip of the sensor requires the water to measure the
pH. The reliability of the pH sensor remains half of the year
It is the most momentous factor in aquaculture. It governs
the evolution size of the fish population. Dissolved
Oxygen has an inverse relation with temperature. It decreases when temperature increases and increases when temperature decreases. By this relation, we can say that if temperature lies in normal ranges, then DO also lies in a normal range. One big resource of DO is submerged plants.
Microcontroller has an onboard storage facility that is used to store different programs on it using Arduino IDE. Arduino also has a very large support community that helps beginners to get started with technologies like embedded systems.
Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries IT Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Zero Hunger, Reduced InequalityRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 77000 | |||
| Arduino Analog pH Sensor | Equipment | 1 | 10000 | 10000 |
| Pir Sensor | Equipment | 1 | 2080 | 2080 |
| Turbidity Sensor | Equipment | 1 | 15920 | 15920 |
| Water Pump | Equipment | 1 | 28000 | 28000 |
| Arduino Uni | Equipment | 1 | 4500 | 4500 |
| Mega Pixel IP Camera | Equipment | 1 | 6500 | 6500 |
| Maintenance | Miscellaneous | 1 | 10000 | 10000 |