DEVELOPMENT OF IOT BASED FISH MONITORING SYSTEM FOR AQUACULTURE

Aquaculture mainly refers to cultivating aquatic organisms providing suitable environments for various purposes, including, commercial, recreational, public purpose. This project aims to enhance the production of fish and maintain the aquatic environment of aquaculture in Bangladesh. This paper presents the way of using Internet of Things (IoT) based devices to monitor aquaculture’s basic needs and help provide things needed for the fisheries. Using these devices, various parameters of water will be monitored for a better living environment for fish. These devices consist of some sensors that will detect the potential of Hydrogen(pH) level, the water temperature. An android-based mobile application has also been developed. In this system, farmers, fishermen, and people related to aquaculture will be the users of an android application.


I. INTRODUCTION
Aquaculture is one of the prospering segments in developing countries like india as it contributes 1.07 percent of the GDP.It is found that fish necessity of the country by 2025 would be in terms of 1.6 crores tones and due to the overfishing regular fisheries have been drained therefore commercial aquaculture has been appeared.Aquaculture comprises the arrangement of exercises, information and methods for the rearing of underwater plants and a few types of animals in the water.This action has incredible significance in monetary advancement and food development .Constant checking of the physical, synthetic and organic guideline of lake and pond water helps not only to identify the control the negative states of aquaculture yet additionally to maintain a distance from natural harm and the breakdown of the production process.The observing of physical and substance factors like pH, Oxygen and temperature in water is crucial to keep up sufficient conditions and avoid unfortunate circumstances that cause the failure of aquaculture.As a result ,a farmer need not hire workers at their site, consequently ,drive down operating costs and improve efficiency.

II. LITERATURE SURVEY 1. Internet of Things(IoT) based Smart Water Quality Monitoring System
K.Spandana, proposed that the wireless sensor networks.WSANS which is used to monitor physical environmental conditions such as pressure , sound , temperature etc.This system includes a gateway that provides connectivity to the used world and distributed nodes, which can transfer the data through the network.The remarks found in this system is by using the WI-FI module the interfacing is done between transducers and the sensor networks on single chip For the monitoring process the system is achieved with reliability by verifying the four parameters of water.

IoT Based Water and Soil Quality Monitoring System
Ganesh babu, Proposed Wi-Fi module which exchanges data gathered by the sensors to the controller and exchanges the data to the computer.This system continuously monitors contamination of water essests and soil quality.The remarks found in this system was, remote monitoring of the soil pH rate and its temperature .sensor rates were very high and it was done with the minimal cost.The regular intervals of updates which show the knowledge about the soil and water content did not perform well.

Aquaculture Monitoring and Control System: An IoT Based Approach
Preeta M.k proposed a system which continuously monitors the water quality parameter and detects the values and sends this information through the cloud.The main remark in this system was that it monitors Dr.M.chavan proposed the advancement in integrated chip in computers like Raspberry Pi which reaches the ground level with its application in agriculture and aquaculture ,it mainly depends on the parameters such as temperature and pH ,and they are checked by using the pH and temperature sensor.The main remark we can see in this system also manual testing takes too much time to verify the parameters and they are not taken in the regular intervals.

Initial development of the hybrid Aerial underwater Robotic system :Internet of things for Aquaculture farms
Bing Ouyang,paul .S.wills proposed a team of collaborative aero-amphibious robotic sensing platforms integrated the with water quality sensors; a land-based home station that can provide the automated charging and sensor cleaning ; and a backend processing center that includes a machine-learning monitoring system prediction model.Aquaculture, especially fish farming which plays a vital role in ensuring food security worldwide.However for fish farming to be sustainable and economically viable , drastic improvements to the current labor-intensive and resource-in efficient operations are required.

Development of an IoT water Quality Monitoring System for Data Based Aquaculture Siting
Edward Olmedo, Mic ,proposed a similar IoT approach for aquaculture via a proposed water quality monitoring system with design features that are targeted for aquaculture sighting applications(i.e., shellfish fisheries).Currently available commercial measurements are often expensive , which limits the amount of measurement points that can be achieved at the given cost.In this paper software based tools are limited to accuracy and efficiency of measurement of data at particular point

Iot Based Fish Stress Factor Monitoring System
Abdul Razza, Fahad saif proposed, composed of four sensors integrated with Arduino UNOs and the wireless modules for evaluating water parameters, Measured values are available through mobile application remotely.Sensor readings are compared with pond -specific parameters, the parameters used in this system can cause stress to fish in ponds and fish growth is disturbed by these stress factors

Development of IoT-based Fish Tank Monitoring System
Maria Gemel .M.B proposed the development of fish Tank Monitoring System using the Internet of Things(IoT) which modules with the four sub systems-water quality monitoring system video surveillance of the tank , on-demand of feeding machine and cloud data storage .During the evaluation ,the calibrated sensors for water quality monitoring were shown as accurate The aquaculture management system will be significantly improved with the adoption of recent technological advantages.

Development of an IoT based Aquaponics Monitoring and Connections System With Temperature-Controlled Greenhouse
Lean Karlo Tolen.S proposed a monitoring and automatic correction system for an aquaponics set-up in water.It also includes monitoring of pH level and Temperature of the recirculating water of the system and the canopy area of the plant .The manual testing of the data to check the results whether they are below or above the threshold level takes some time to verify the values .

An IoT -based Smart Aquarium Monitoring system
Ahmad Kamal proposed a development of proto type of an IoT-based Smart Aquarium for Fish life habitat.This System operates as fish feedings systems and controlled by the smart-phone in its operation, Arduino MEGA and nodeMCU is used between the smartphone and the controller which control the operation.Thi system only considered for the water quality in the aquarium and it is not applicable to check for pond and sea water.

IoT based water quality monitoring system by using Zigbee protocol
Halima Haque, In this paper she dictates the damage caused by water and what can be done to resolve those issues by involving the Internet of things(IoT).This paper indicates the use of specific sensors that calculates the various parameters of the quality of water which includes Conductivity and the dissolved Oxygen .The values from the sensors have been measured and calculated using the micro controllers, then the processed remote values have been transmitted to the raspberry pi,the central controller which uses the Zigbee protocol.

Design of low-cost autonomous water quality monitoring system
Aravinda Rao, In this paper, he proposed a low-cost wireless water physiochemistry sensing system .The result indicate that with appropriate calibration, a reliable testing the monitoring system can be established.This will allow these catchment managers to continuously monitoring the quality water at higher spatial resolution than has previously been feasible, and to maintain this surveillance over an extended period of time, in helps to understand the behavior of aquaculture animals relative to water pollution using data analysis.

Design of smart sensors for real-time water quality monitoring
Neil Andre Cloete, In this paper he describes work that has been done on design and development of a water quality monitoring system, The system is able to measure the physiochemical parameters are used to detect water contaminants .The sensors, which are designed from first principles and implemented with a signal conditioning circuits , are connected to a microcontroller-based measuring node, which processes and analyzes the data.

III. PROPOSED SYSTEM
This paper proposes an IoT-based Aquaculture system to improve and monitor the quality of water for the fishing industry.In this research ,the following important parameters have been considered such as : the suitable temperature and the pH level.It is believed that the proposed system will make the aquatic environment more profitable, productive and sustainable.This will make an enormous contribution to the health and economy of Tamilnadu The government should take good care of this sector by investing, making strict environmental policies and creating are liable communication farmers, fisherman and other people related to this sector.To tackle the huge fish demand for the booming population in Bangladesh.Also, we need to focus on the things that are harming the aquatic environment for the proper development of the fish.For the whole research ,the main concern was to secure fish health for more production of the fish.For this purpose, an IoT based fish monitoring system was build to check the elements measurements and ensure whether the fish are healthy and getting the all the necessary things for a happy life.By this system, Fisheries will know the pH level and temperature and provide the equipment to maintain equilibrium level.Thus the fish will grow healthy.

IV. RESULT
By studying the above literature surveys and research papers, this project represents an IoT (Internet of Things) based on the smart water quality monitoring system that aids in the continuous measurement of water condition based on the two parameters which are very important for measuring the water conditions i.e.,pH and Temperature.12v battery with switch is connected to the power supply Adapter.In power

4 .
Design and Implementation of IoT based Real Time Monitoring System for Aquaculture using Raspberry Pi supply adaptor, regulator is fixed to ensures.A steady constant voltage supply which is 5v.Now power supply unit is connected to Node Mcu (esp866) with base board.Resistor is inserted to adjust current flow and to divide the voltages, it connects to the temperature sensor and Node Mcu pH sensor is connected to the Node Mcu and power supply unit .In pH sensor, LDR and temperature sensors are inserted.Now the pH sensor and temperature sensor made to float in Different types of water(pond,sea,tap) and detect the pollution In the water.Now these values are send through wifi module.Which is attached to the Node Mcu, it enables the internet connectivity transfers the measured data from sensors to the cloud.This prototype is designed in such a way that it can monitors the number of pollutants in the water.It checks the temperature and Potential of hydrogen level in the water and sends this information to further processing which is perform ed at Personal computer (PC).The obtained data is sent to the cloud by using IoT based ThinkSpeak application to monitor.The quality of water, now coming to pH for fish can tolerate in the range of 6.5 to 8,and temperature should be in the range of 75-80 degrees Fahrenheit(23-27 degrees Celsius) fish can't survive in too cold water, when the values of pH and temp are Above the threshold level automated changes is done in the excel sheet in the thinkspeak .The uniqueness of our proposed paper is to obtain the water monitoring system with high freqency, high mobility and low powered.