Aquaculture monitoring and controlling
aquaculture is a backward region of applied science. Contrasted with other zones like agriculture, consequently, it?s essential to determine the issues that are in this area with the assistance of technology. Water quality might be a basic issue, it mainly depends upon numerous parameters like disso
2025-06-28 16:30:16 - Adil Khan
Aquaculture monitoring and controlling
Project Area of Specialization Internet of ThingsProject Summaryaquaculture is a backward region of applied science. Contrasted with other zones like agriculture, consequently, it’s essential to determine the issues that are in this area with the assistance of technology. Water quality might be a basic issue, it mainly depends upon numerous parameters like dissolved oxygen, carbonates, turbidity, ammonia, nitrates, salt, pH, temperature, etc. The proposed system continuously monitors the water quality parameter using sensors, the detected information is conveyed to the aqua-farmer mobile via the cloud. Accordingly, actions will be taken in time to reduce the losses and improve productivity.
Some articles use Arduino a small controller for watching the aqua field , however the esp8266 will be connected to Arduino to monitor in real time in remote areas. Several papers focus on few kind sensors like turbidity, DO, PH etc., and a solution to those issues. However, the expansion of aquatic life depends on several constraints like Ammonia, Carbonates, Nitrate, Bi- Carbonates, Salt, etc. All the above parameters are measured with the help of several sensors and a possible solution was given to the aqua farmer to maintain the pond. The continuously detected information is sent directly to the aqua farmer through app . Recently IoT is reaching top level with its application to farmers. many papers in literature survey focus on how actually the aquatic life get distracted because of modification in water quality parameters with respect to time, and how IoT technology is employed to overcome the problems . Moreover, sending and storing the information in the cloud helps user for analyzing the data by data analytics, which might facilitate us to take pro-active measures before the modification in water quality parameters . the above-designed system is energized with the assistance of municipal electricity with battery. Our proposed model will give a solution to the aqua farmer before the damage was done to the aquatic animals and aquafarmer will get an alert message if the parameters of the aqua pond exceed the specified threshold range.
Project Objectives- Improving the potency and limits the losses by constant checking of water quality parameters i.e dust or waste in water, Ph level of water (acidic).
- Feeding food to fishes automatically
- Water temperature rise and fall for different climatic fishes
- Monitoring the water level
As of late commercial aquaculture is facing numerous challenges because of abrupt environmental condition variations that end up in changes in water quality parameters. As of now, aqua-farmers use manual check strategies for knowing the parameters of water. This will take longer and not correct since water quality parameters could change with respect to time. In order to avoid this downside, innovation should be involved in aquaculture that improves the potency and limits the losses by constant checking of water quality parameters.
- The goal of this project is to design and execute a distributed system for aquaculture water quality care through remote observing of turbidity, temperature, water leveling,PH level, feeding fish on time.
- This work will contribute remote monitoring framework through IoT to screen water quality in ponds.
- The system is portable, modular, low cost, versatile and permits sharing of data through the cloud that can be used for the advancement and improvement of aquaculture related activities.
Power module: The power module has a DC-DC converter, charge controller, battery. The battery is predominantly used to supply control in the night as water quality parameters for the most part changes at night. A DC-DC converter is there to give the capacity to scale controller module which will work at 5V. A DC-DC converter is mainly used to provide an invariable voltage.
Sensor module: The sensor module consists of certain sensors, for example, pH, turbidity, water level, Temperature. These sensors are connected with Arduino and Esp8266, and are used for detecting the water parameters from time to time.
Controller module: It is treated as the most important part of this project. Arduino is used as a controller. Arduino is a low budget, small computer board.The Program for getting the sensor information is written in C++ language and send that information to the cloud (Firebase). The server-side program constantly onlookers the sensor esteems whether they are inside the edge extend. In the event that the qualities go amiss from the edge extend, telling message with the arrangement is sent to the mobile app that is an output module.
Output module: Aquafarmer mobile is treated as an output section. An app will be developed in the mobile phone which will have several widgets to display the sensor data and other buttons to control the flow of water through the motor and if the sensed data exceed the threshold ranges alert Message will be sent to the farmer with necessary steps to be taken.
Control module: The system will maintain the temperature using water thermostat, in winter it will warm the water for marine life. In summer it will cool the water up to the reasonable temperature. We will fix the time for food. When it is the time of the food the valve will open and will drop the percentage of food require for the tank and will close again. The system will also monitor the food in box as well
Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther IndustriesCore Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 64500 | |||
| pH sensor | Equipment | 2 | 6000 | 12000 |
| servo motor | Equipment | 1 | 4500 | 4500 |
| turbidity sensor | Equipment | 1 | 4000 | 4000 |
| food box | Equipment | 1 | 2300 | 2300 |
| temperature sensor | Equipment | 1 | 5700 | 5700 |
| Esp 8266 wifi module | Equipment | 1 | 9500 | 9500 |
| Arduino | Equipment | 1 | 2000 | 2000 |
| battery | Equipment | 1 | 2000 | 2000 |
| water level sensor | Equipment | 1 | 6000 | 6000 |
| Fish Aquarium | Equipment | 1 | 16000 | 16000 |
| Connecting Wires | Equipment | 1 | 500 | 500 |