Aquaculture Monitoring Using IoT

Aquaculture is practiced around the world since thousands of years. Generally when sea water fishes are kept  in fresh water environment for aquaculture they are quite vulnerable to change. Mostly the change in conditions of the pond are equivale

Project Title

Aquaculture Monitoring Using IoT

Project Area of Specialization

Internet of Things

Project Summary

Aquaculture is practiced around the world since thousands of years. Generally when sea water fishes are kept  in fresh water environment for aquaculture they are quite vulnerable to change. Mostly the change in conditions of the pond are equivalent to  adverse  conditions  for the fishes to survive residing in the pond as they are  left undetected which  results in fish death or poor health conditions for the species  which is a great loss to aquaculture industry. Usually in our country aqua farming  is achieved naturally or by methods design by man through ponds. In our project we want to make use of technology so that these adverse conditions are not left undetected and can be catered timely in order to achieve increase productivity and economic growth through Fish Industry. We are using IoT to monitor these changes in water quality of the pond to timely sense and detect these adverse changes for fish health and generating an alert system to solve this. In particular, our system offers various tools and equipment to monitor water quality, controlling it for healthy fish raising in that particular environment. Water criteria can be measured by measuring temperature, pH, dissolved oxygen, turburity in order to control the water quality and improve the fish livelihood. This project shall make use of the recent technologies to remotely monitor and control these conditions using a programmed sensor system to increase the aquaculture production. In this project, a smart system has been proposed, which is using several types of sensors and controller in order to collect data o from the pond keeping in mind the important parameters on regular intervals of time. In addition, an application which will give alerts when it senses any value lies in close proximity of it being hazardous for the fishes. This project has the ability of remote monitoring and controlling fish farm to maintain its healthy conditions.  In general, the proposed system consists of three different parts -The sensors of pH, TDS, DO and temperature in addition to present solutions to each critical sensed data. The second  part consist of  gathering, calculating and testing the sensors readings regularly, in order to perform the required action(s) based on the sensed data. The third part permits the results to be retrieved for monitoring and for generating alerts.

Project Objectives

The main purpose of this project is to provide a technological solution of monitoring water parameters for maintaining a healthy environment for fish farming thus eliminating the traditional methods being used in fish industry which are mainly manual checking of water using conventional water testing using scales which are not suitable to accurately detect the conditions of the water where fish resides. Therefore we want to fully automate this process using IoT which will remotely monitoring fishes using the sensors through an application to sense the water parameters and reduce various risks by generating alerts for the fish farm owners when the value of the parameters is close to being hazardous for fish health.

By doing this we target the Aquaculture Industry

• Aquaculture is the second biggest industry of Pakistan using technology to improve the production will help in the economic growth of our country and will also help the farmers in increasing their production 
• To make the Aquaculture industry to be more profitable and stable which is directly related to fish health and livelihood

Project Implementation Method

The methodology consist of first exploring the sensors that are  best fit according to our  requirements which have been taken into account for implementing the smart monitoring automated design. We particularly choose those sensors whose parameters supported and matched with the species and the water conditions of Pakistan. All sensors are aimed to observe parameters working on individual basis first on small scale then later all sensors will be integrated altogether to collaborate with each other working under a single supportive framework. Concurrently research is required for  Fish Profiling i.e. study of the acceptable and optimum parameters of water we are sensing for the fishes to gain knowledge about different species of fishes along with their special attributes that are necessary in contributing for their survival. Next we shall calibrate and integrate our sensors sensing the water quality and effecting the health of the fishes i.e. Temperature, pH, DO (Dissolved oxygen), TDS (total dissolved solids).After successful integration of the sensors we shall build an IoT framework to connect them so that the communication amongst them is possible. Next comes the part of building a back-end database able to save the sensed values and also use the threshold values acquired from fish profiling use for data analysis in order to accurately move towards building an alert system. The front end and the GUI of the system shall be then implemented to form an application to remotely view the conditions and will be able to generate an alert when the conditions are close to being harmful for the fishes 

Benefits of the Project

Our objective to automate the fish farming procedure by maintaining the water criteria within the above ranges shall increase fish production and economic growth of the country as fish industry is the one of the biggest industry of Pakistan. In addition to achieving the sustainable aquaculture via assisting the farmers in maintaining ecofriendly ponds environment. Monitoring and controlling his/her farm remotely. Further, it can be developed to monitor and control multiple fish farms supporting the growth of 17 different species found in Pakistan.

Technical Details of Final Deliverable

This project aims to maintain healthy conditions in aqua farm to increase the fish production. This can be achieved by designing and implementing a low cost smart system to monitor and control the fish farm remotely. The proposed system has the ability of sending alerts to the aqua farm owner when required. Hence, the owner can interfere immediately and when it is required.

The final deliverable makes use of the following:

Hardware: Arduino I/O shield, Temperature sensor, pH sensor, DO (Dissolved oxygen) sensor, TDS (total dissolved solids) sensor, Wi-Fi Module ESP32
Software: Python, Cassandra, React native

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Agriculture

Other Industries

IT

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Cloud Infrastructure

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and Production, Life Below Water

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com