FINAL APPROVAL
1. This is to certify that we have read this report submitted by Raza Shah M.Shahid and Amir
Afzal and it is our judgment that this report is of sufficient standard to warrant its acceptance
by MNS-University of Agriculture, Multan for the degree of BS (Information Technology).
Committee:
1.
External Examiner
______________________
<<Examiner Name>>
<<Designation>>
<<Organization>>
2.
Supervisor
________________
Dr. Ayesha Hakim
Assistant Professor
Department of Computer Science
.
3. Head of Department
Dr. Ayesha Hakim
Assistant Professor,
MNS-University of Agriculture, Multan
________________
DECLARATION
This is to certify that Raza Shah(2016-UAM-358) M.Shahid(2016-UAM-358) and Amir Afzal
(2016-UAM-358) Session (2016-2020) have worked on and completed their software project
“Smart Fish Farm Monitoring System” at the Department of Computer Science/IT, MNSUniversity of Agriculture, Multan, in partial fulfillment of the requirements for the degree of BS
(Computer Science).
Date:_____________
Signature: _____________________
Raza Shah
2016-UAM-358
Signature: _____________________
Muhammad Shahid
2016-UAM-401
Signature: _____________________
Amir Afzal
2016-UAM-393
DEDICATION
Our project is dedicated to Our Institute Muhammad Nawaz Shareef University of Agriculture,
Multan. We are surely grateful to have such a great institute that prospered the knowledge and
skills for the students of South Punjab and especially our teachers and parents. Without their
support, we shall never have accomplished our project. Their guidance enlightens our way to
success and their prayers enabled us to do this project.
ACKNOWLEDGMENT
First, we are thankful to Allah Almighty for completing this project, we sure that the person who
follow the rules of God, never failure in his life. Allah says, “Work should be done by you and
reward will be given by me”. The life of Holy Prophet (PBUH) is ideal for us. Our Holy Prophet
(PBUH) “By him in who’s in hand is my soul if one of you were to carry a bundle of firewood on
his back and sell it, that would be better for him than begging a man who may or may not give him
anything”.
We are thankful to our loving parents and family for their encouragement and provide us all sort
of help like moral, social, and financial in completing this project.
We are thankful to all teachers of our university and special for those who were the project
management and software development subject teachers and specially with the soul of heart to
guide us like a son for guidance, and also played a vital role in completing our project. We dedicate
a quotation to our loving teachers.
PROJECT BRIEF
PROJECT NAME
Smart Fish Farm Monitoring System
ORGANIZATION NAME
MNS-University of Agriculture
Raza Shah
UNDERTAKEN BY
Amir Afzal
Muhammad Shahid
SUPERVISED BY
Dr. Ayesha Hakim
STARTING DATE
<<October 01, 2019>>
COMPLETION DATE
<May 01, 2020>>
<<Pentium/AMD/Intel Core m3 7th Gen, , 8GB RAM ,
COMPUTER USED
1TB Hard disk>>
OPERATING SYSTEM
<<MS Windows X /Linux / Solaris>>
SOURCE LANGUAGE(S)
<<Cpp, HTML, PHP>>
DBMS USED
<<My-SQL, MS SQL SERVER>>
TOOLS/PACKAGES
<<Arduino / Edit Pro /Dreamweaver>>
PLAGIARISM UNDERTAKING
I solemnly declare that the work presented in the report titled “Smart Fish Farm Monitoring
System” is solely our work with no significant contribution from any other person. Small
contribution/help wherever taken has been duly acknowledged and that complete report has been
written by us.
I understand the zero tolerance policy of the HEC and MNS-University of Agriculture, Multan
towards plagiarism. Therefore, I as an Author of the above titled report declare that no portion of
my report has been plagiarized and any material used as reference is properly referred/cited.
I undertake that if I am found guilty of any formal plagiarism in the above titled report even after
award of the degree, the University reserves the rights to withdraw/revoke my degree and that
HEC and the University has the right to publish my name on the HEC/University Website on
which names of students are placed who submitted plagiarized report.
Student Signature: ______________
Name________________
ABSTRACT
Investment and operating costs are the biggest obstacles in modernizing fish ponds in an otherwise
very lucrative industry i.e. food production, in this region. Small-scale farmers running on small
ponds could not afford to hire workers to man daily operations which usually consists of
monitoring water levels, temperature and feeding fish. Bigger scale enterprises usually have some
kinds of automation for water monitoring and replacement. These entities have to consider
employing pH, Turbidity, water level And water temprature Sensor to ensure the water quality,
health and growth of fish, sooner or later as their farms grow. This project identifies one of the
sites, located in MNS University of agriculture Multan. In this project, water, temperature, pH and
Turbidity and water levels are measured and integrated with aerating and water supply pumps
using Esp32. User could receive information at predetermined intervals on preferred
communication or display gadgets as long as they have internet. Since integrating devices are
comparatively not expensive; it usually consists of Arduino board, internet and relay frames and
display system, farmer could source these components easily. A sample of two days measurements
of temperature, pH Turbidity and water levels show that this farm has a high-quality water.. With
this integration system, farmer need not hire worker at their site, consequently drive down
operating costs and improve efficiency.
TABLE OF CONTENTS
Contents
Page No.
Chapter 1
Introduction
1.1 Project Introduction
2
1.1.1 Main Theme
3
1.1.2 Scope of the Project
3
3
1.1.3 Objectives of the Project
1.2 Introduction to Organization
4
1.2.1 Organizational Setup and Structure
5
1.2.2 Main Aim and Work Environment
6
1.3 Future Prospectus
7
Chapter2
System Analysis
2.1 Feasibility Study
2.2 Existing System
8
2.3 Data Gathering
2.2.1 Questionnaires (or any technique used)
2.2.2 Sampling & Observations
9
10
2.2 Data Analysis
13
2.2.1 Data Flow Diagrams (DFDs)
14
2.2.2 Requirements Engineering
15
Chapter 3
System Design
3.1 Introduction to System Design
17
3.2 Proposed System and its Features
18
3.3 System Design using UML
19
3.3.1 Use Case Diagrams
19
3.3.2 Sequence Diagrams
20
3.4 Database Design
20
3.4.1 Entity Relationship Diagrams (ERDs)
21
Chapter 4
System Development
4.1 Introduction to System Development
25
4.2 Tool/Language Selection
25
4.3 Hardware for the System
26
4.4 Software Development & Implementation
26
4.4.1 Client Side Technology
27
4.4.1.1 HTML,CSS and Bootstrap
4.4.2 Server Side Technology
27
28
4.4.2.1 Php
28
4.5 Code/Algorithms of important modules
30
Chapter 5
User’s Guide
5.1 Input Forms (print-out with some description)
39
5.2 Reports (print-out with some description)
50
Chapter 6
Conclusion
A one or two page summary of the tasks carried out in the project.
70
Chapter 1
Introduction
1.1.
Project Introduction
Fish execution relies upon various factors: natural variables, creation factors, and biotic
components. In the offices, it is conceivable to control a portion of those components. Incandescent
lamps are utilized over each tank to give brightening to the tanks. With light, it is conceivable to
change the photoperiod and adjust the conduct of the fish to improve their exhibition. Additionally,
channels can be utilized at the water access to take out the turbidity. In this way, the negative
impacts of turbidity are diminished, improving fish execution. Different factors, for example,
water temperature or water conductivity are not typically adjusted, despite the fact that it is
conceivable to adjust them. Water temperature and conductivity can change the taking care of the
necessities of fish kept in the tanks. Also, if fish are focused on their taking care of utilization falls
and the exhibition diminishes. As of late, the improvement of various Information and
Communication Technologies (ICT) related to the production of ease little sensors have made it
conceivable to screen numerous procedures. Remote sensor systems (WSN) are a reasonable
model as they are frequently utilized for farming purposes. Water quality checking and fish
conduct observing are essential to improve the proficiency of aquiculture
This project is mainly on building a smart fish pond monitoring system. Small-scale farmers
running on small ponds could not afford to hire workers to man daily operations which usually
consists of monitoring water levels, temperature and feeding fish. Bigger scale enterprises usually
have some kinds of automation for water monitoring and replacement. These entities have to
consider employing pH, Turbidity, water level And water temperature Sensor to ensure the water
quality, health and growth of fish, sooner or later as their farms grow. This project identifies one
of the sites, located in MNS university of agriculture Multan.. In this project, water, temperature,
pH and Turbidity and water levels are measured and integrated with aerating and water supply
pumps using Esp32. User could receive information at predetermined intervals on preferred
communication or display gadgets as long as they have internet. Since integrating devices are
comparatively not expensive; it usually consists of Arduino board, internet and relay frames and
display system, farmer could source these components easily. A sample of two days measurements
of temperature, pH Turbidity and water levels show that this farm has a high-quality water.. With
this integration system, farmer need not hire worker at their site, consequently drive down
operating costs and improve efficiency.
.
1.1.1 Main Theme
We have designed and developed a Smart Pond Systems primarily for balancing the ecosystem in
the pond. Our device monitors water quality without affecting the natural habitats of pond. This
system monitors turbidity, pH and temperature water level in the pond. The proposed device can
operate with both GSM and LoRaWAN (long range wide area network). The information collected
by the sensor device can be visualized and analyzed in the web application dashboard and mobile
app. This system enables the management of multiple fish ponds from a single mobile device.
Hence, by installing our smart pond device, the operators not only earn profits in terms of
production but also reduces capital expenses required to manage the ponds.
The proposed work supports remote monitoring of the fish farming system based on Internet of
Things (IOT) for real-time monitor and control of a fish farming system. Objective is to provide
an automatic fish farming monitoring system thereby saving time, money & power of the farmer.
IOT technologies have revolutionized farm production in the country. In the fish farming process
they have used various sensors like pH value, temperature and level sensors. By using these sensors
all the work is automated and it will also be easy to monitor the fish farming remotely from other
location. This project discussed physical measures such as temperature, level, turbidity of water
using the A / D signal processing, via Wi-Fi wireless transfer to the terminal server. The data
messages are analytically processed, sent to the server database and displayed on a computer
terminal or smart phone.
1.1.2 Scope of the Project
Though technology is intangible, we do notice the need of our attention towards the fisheries, fish
farms. Hence, here is an idea of accumulating concepts of sensor data collection, wireless
communication and most importantly Internet of Things into a system which can be called as Smart
Fish Farms. By acquiring data from different objects on a platform, the data can be observed, and
changes can be monitored. This research project aims at combining the physical aspects of a fish
farm with the help of sensors and acquires the data to monitor the processes going on in its real
time. The physical aspects include measuring water quality parameters such as temperature,
turbidity, pH and level of water, being the most important factors for the fishes to breed. It also
includes automatic recycling of water at regular interval of time, online streaming of the fish farm
can be available to the farmers, to monitor their fish farms. The data collected can be used for
analysis and thereby, changing the fish farm conditions when required. Hence, is termed as Smart
Fish Farm Monitoring. All this reduces the time, effort and money for the farmers. Additionally,
healthy and higher number of fishes are obtained as yield.
Fish like many living organisms have specific tolerant range of various environmental parameters,
thus fish farming of specific types of fish species requires certain conditions that have to be reached
necessarily. Moreover, the people that work in the fish farming ponds have to be engaged in all
day activities to maintain the living habitat of fish. Therefore, monitoring and taking actions to
maintain the fish habitat for certain fish species inside the fishing ponds remotely is an important
task. In this project, we present an upgrade on a functional Internet of Things (IoT) system for
monitoring fish farming ponds. The IoT system consists of various sensors that measure important
factors of the water like temperature, pH value and water level and the data from these sensors can
be accessed by an application through firebase.
1.1.3 Future Scope:
The degree behind structure up the customized fish reinforcing system is to reduce the manual fish
supporting system which utilizes more work powers.
Fish production has significant impacts to several factors in many countries for example it affects
the economic especially countries that include seas and rivers and in influence the individual health
as it is one of the high nutrients food. In addition to, increasing fish production may participate in
overcoming the poverty issue in the world. This paper proposed smart system to monitor and
control fish pond by using four different sensors to monitor the, water temperature, pH, turbidity
and water level sensor. The Arduino platform is used and the esp32 devise is employed as
microcontrollers. The system has the ability of collecting the sensors reading regularly to perform
the proper task. In addition to, sending alert SMS to the fish farmer when critical situations occur
by using GSM model. The results were promising because maintaining the fish environment in
healthy conditions will affect positively in fish production in terms of number and size.
1.1.4 Objectives of the Project
IoT enabled Smart Fish Farm Monitoring System has been designed and developed keeping the
high risks associated with aquaculture farming in mind. With our real-time-monitoring
capabilities, our farm monitoring system gives a dramatic boost to the Aquaculture farming yield
and productivity.
This research project aims at combining the physical aspects of a fish farm with the help of sensors
and acquires the data to monitor the processes going on in its real time. The physical aspects
include measuring water quality parameters such as temperature, Ph. Turbidity and Water level
are the most important factors for the fishes to breed. Online streaming of the fish farm can be
available to the farmers, to monitor their fish farms. The data collected can be used for analysis
and thereby, changing the fish farm conditions when required. Hence, is termed as Smart Fish
Farm Monitoring System. All this reduces the time, effort and money for the farmers. Additionally,
healthy and higher number of fishes are obtained as yield. Because the quality of water available
to the fish is one of the most important factors in fish production. Water quality directly affects
feed efficiency, growth rates and overall health status of the fish
In this project, water, temperature, pH, turbidity and water levels are measured and integrated with
aerating and water supply pumps using Arduino. User could receive information at predetermined
intervals on preferred communication (such as mobile app) or display gadgets if they are connected
to internet.
Objectives:
1.
2.
3.
4.
4.
To monitor water level of fish pond
To monitor turbidity of water
To monitor water temperature
To monitor pH level of fish pond water
Recycling of water
1.2 Introduction to Organization
MNS-University of Agriculture, Multan is an HEC recognized higher education institution that
started its academic activities in 2012. During the short period of its existence, the University has
made rapid progress in terms of expansion of its academic programs, students’ enrolment, physical
infrastructure, campus network, and hiring of highly qualified and experienced academic and
administrative staff. As a matter of fact, MNSUAM has been considered as one of the fastest
growing academic institutions in the country.
1.2.1 Organizational Setup and Structure
The University is located at Old Shujabad Road, Multan, neighboring several different wings and
formations of Punjab Agriculture Department. The main campus comprises 180 acres of land,
whereupon initially an Academic Block, Administration Block, Girls and Boys hostels, Guest
House and some Staff residences are being constructed. For carrying out agricultural research
activities, the University has established agricultural farms at the main campus as well as at
Jalalpur Pirwala comprising 500 acres of land allotted to the University. Besides bachelors’ level
degree programs in Agriculture, Agribusiness, Computer Science and Information Technology;
the University also offers F.Sc. Pre-Agriculture, and M.Sc. and Ph.D in various disciplines of
Agricultural Sciences. Recently, the University has started B.Sc. (Hons.) Poultry Science, B.Sc.
(Hons.) Fisheries and Aquaculture, B.Sc. Agro-Industrial Engineering Technology, B.Sc. (Hons.)
Human Nutrition and Dietetics and MS Computer Science programs.
1.2.2 Main Aim and Work Environment
The primary objective of the University is to elevate socio-economic status of farmers and to
provide education in various faculties of agriculture and other branches of knowledge, make
provisions for research and development and service to the society. There is a strong sense of
openness at MNSUAM as the University actively interacts with the surrounding institutions and
society at large through continuous dialogues and knowledge exchange. With learning-based
environment and new perspectives, the University aims to contribute to a better future.
1.2.3 Fish Farms
There is a fisheries department in MNS University of agriculture Multan. This department has its
own fish farms. The main fish farm is located at C block of MNSUAM. The other farm is located
at the Jalal Pur peer wala. We implement this project at the C block of MNSUA in Multan. The
main purpose of the organization is a research about the animals and fish. There a research work
is done about the fish.
Chapter2
System Analysis
2.1 Feasibility Study
Feasibility study is the measurement of the developed information system is how beneficial or
practical to the organization. So, this topic measured the feasibility. And we study the four major
types of the feasibility study during the development of our project of Smart Fish Farm Monitoring
System
2.1.1 Operational Feasibility:
Operational feasibility is the measurement of the project about how the project supports the service
provider and the customer who uses it. And it also answers the question “Is the project feasible to
operate or not?”
Smart Fish Farm Monitoring System fulfill all requirements required to monitors water quality and
this project also provide feasibility for farmers to check water quality s status. This project record
water parameters in web database.
Moreover, this project also generates alert notification in the case of bad readings of parameters. In
short, this project fulfills all requirements that it is intended for.
2.1.2 Technical Feasibility:
Technical feasibility is the measurement of the technical solutions, technical resources, and technical
expertise availability. It basically looks at what is practical and reasonable.
Basically, this project is technically feasible as it can be used in fish farming and fish industry by
playing a vital role in fish nutrition
Technical expertise is required as well for this project because sensors readings are somewhat little
complex to be taken but not much difficult.
2.1.3 Schedule Feasibility:.
Schedule feasibility is the measurement of the schedule of the project that the time limit or the
deadline for the completion of project is reasonable or not. So, we have must complete the project in
the given time limit. It addresses that “Can we really finish the project with in the given deadline”.
This project is Schedule feasible as it can be completed with little time limit.
Schedule of the project includes following processes
1.
2.
3.
4.
Configuring Hardware, microcontroller, and Sensors.
Configuring Database and web server.
Web application development.
Alert Notification API configuration.
All these processes must be done within certain defined time limit Schedule.
2.1.4 ECONOMIC FEASIBILITY:
Economic feasibility is the measurement of the economic resources of the project. It measures the
cost effectiveness of the project which is also called the cost and benefit analysis of the project.
Our Project is not Much Costly to develop and not much costly to implement. By doing Cost &
Benefit analysis of this project we came to know this project is economically feasible and can be
implemented in industrial farm and even in small home Farms.
During the development of our Project of Smart Fish Farm Monitoring System we have tried to
address all the feasibility types. That’s why our project succeeds properly.
2.2 Existing System
In the existing systems there are manual ways of measuring these parameters. Farmer had to go to
the laboratories to find out required parameter to check the water quality and current condition of
the pond water. In the existing system all the operations are done by the labour.it was a time waste
hardworking.
In existing system need to hire workers to maintain daily operations.
2.2.1 Flaws/Drawbacks In Existing Systems:
There are many drawbacks in the existing system as the existing system takes a lot of time to create
the checkout water quality as it is measured manually. And there is no proper way of recording the
parameters to analyze pond and water condition. It has some drawbacks as follows.
1.
2.
3.
More workers need to be hired.
More effort requires to maintain daily operations.
There is no proper way of recording the parameters to analyze pond and water condition.
2.3 Data Gathering
During development of this project the basic information about fish pond is gathered from the Dr.
Naheed Baano (Assitent Professor).
She gave us basic information about pond and she told us about basic parameters (Ph. Temperature,
Turbidity and water level) that they need to check water quality.
we get some information from the research papers about water quality, temperature, turbidity of
water. Water quality monitoring and forecasting plays an important role in modern intensive fish
farming management. This paper describes an online water quality monitoring system for intensive
fish culture in China, which is combined with web-server-embedded and mobile telecommunication
technology. Based on historical data, this system is designed to forecast water quality with artificial
neural networks (ANNs) and control the water quality in time to reduce catastrophic losses. The
results demonstrate that multi-parametric, long-distance and online monitoring for water quality
information can be accurately acquired and predicted by using this established monitoring system.
2.3.1 Questionnaires (or any technique used)
The project has three main entities parameters , runtime display and mobile display so
Analog pH Meter Kit SKU: SEN0169 , Digital Temperature Sensor (Dallas) – DS18B20 Atlas
ultra-sonic sensor and turbidity sensor is used to find out these parameters
These parameters will be displayed on the spot at lcd and user can also monitor these reading
through web application
2.3.2 Sampling & Observations
Documented sampling is show in figure 2.3.2
Figure 2.3.2
Figure 2.3.2 shows a prototype of project here we used an aquarium as a container/farm having
four sensors connecting with esp32 through the jumper wires and a lcd is also connected with esp32
to display the gadgets on the spot and esp32 is also connect with server to for the remote or mobile
monitoring .
2.4 Data Analysis
2.4.1 Data Flow Diagrams (Dfds)
Figure 2.4.1 show the data flow
Figure 2.2.1 show the data flow diagram of this project which show the flow of data. This figure
shows that sensor gets the value from the water and transfers it toward the microcontroller(Esp32
connected with the battery then microcontroller configure that data and display it on the Lcd and
server through Wi-Fi
2.4.2 Requirements Engineering:
In the requirements engineering we will define the functional and the non-functional requirements
of the developed Smart Fish Farm monitoring System.
2.4.2.1 Functional Requirements:
The functional requirements are the basic requirements or things essentially the system will Do.
There are following functional requirements
1. Every user login to system through user name and password.
2. System must verify username and password, and then login if person is valid user.
3. Manage all the reading taken through sensors.
4. Send the notification to user if can of any bad reading.
5. Show the readings on led at the spot.
6. Keep User Records Secure.
7. Visualize reading parameters graphically.
2.4.2.2 Non-Functional Requirements:
Security:
The system security must be enhanced and should be made difficult for others to hack the account.
Each user have its unique username and the password for login. Therefore it must not be easy for the
outsider to hack the account. The system will demand each user to use ID and difficult to crack
password for login. Also, it’s more likely that the system will be used on a secure web localhost
network it will be made safe for hacking.
Reliability:
This proposed system will be very reliable of doing it’s working in well efficient way.
Reusability:
The system can be used in future to further expansion of criterias. Also, the script language that is
used in project development will be open source so functionality changing as per circumstances will
not be a problem at all.
Cost:
For any sort of activity of this feature, a Pc or Android device will be required. Also, the network
approach will be required
Required hardware and software
 Sensors
Analog pH Sensor for Arduino will be used to measure pH of water in this work. This pH
sensor is extraordinarily expected for Arduino and has worked in helpful associations and
highlights.
 Esp32
As the sensors we use in this work are uncommonly intended for Esp32, we use Esp32 for
sensor procurement.
 Android Smartphone with MTP
Any android cell phone with Media Transfer Protocol (MTP) can be utilized for this reason.
MTP grants media documents to be traded molecularly to and from convenient gadgets.
 Web Service
HTML, CSS, PHP, MYSQL Database will also be used in this project.
Chapter 3
System Design
3.1Introduction to System Design
System Design is actually the method of defining the

Architecture,

Modules,

Interfaces,

And components of the system.
The system design has two basic types

Logical design

And the physical design.
Logical design describes the features, outputs, inputs, files database and procedures etc.
Physical design basically follows the logical design and it describes the working of the system.
3.2 Proposed System and its Features
The objective of the proposed system is to overcome the drawbacks of the existing system The Smart
Fish Farm Monitoring System is user friendly Web Application and iot based system and the main
objective of this system is its simplicity of the design of the application and its hardware integration.
The system requires affordable system resources and it can work over almost all configurations. The
data can be retrieved easily, and the user interface of the application is user friendly. The data
processing is very fast, and the data is protected. The Smart Fish Farm Monitoring System is proposed
with the use of a hardware devices along with sensors that are used to take readings from sensors and
Ethernet connection that send these readings over web server. The system uses web application which
display these readings graphically. In the case of bad readings the notification alert is send to the
consultant user.
Automatic remote monitoring and computer-controlled intensive culture is the future trend in
aquaculture. In modern aquaculture management, water quality monitoring plays an important role.
Appropriate control of water quality to keep the concentration of the water environment parameters
in the optimal range can * Corresponding author. 218 D. Li and S. Liu enhance the fish growth rate,
impact dietary utilization and reduce the occurrence of large-scale fish diseases. Without gathering
information regarding physical and chemical parameters of water quality together with the related
ecological factors it is almost impossible to perform the appropriate water quality control at the right
time and in the right place.
Advantages Of The Proposed System:
Smart Fish Farm Monitoring System is an web and iot based Application. The system design and
implementation are very easy. The main advantages of the proposed system are:
1.
2.
3.
4.
5.
6.
Security of data.
Ensure data accuracy.
System efficiency is greater.
User friendly and attractive.
Time consumption is less.
Alert Notification Notication.
3.3 System Design using UML
4.3.1 Use Case Diagrams
Figure 3.3.1 Use case diagram
4.3.2 Sequence Diagrams
Figure 3.3.2 Sequence Diagrams
3.4 Database Design
3.4.1 Entity Relationship Diagrams (ERDs)
Figure 3.4.1 Entity Relationship Diagram
Chapter 4
System Development
4.1 Introduction to System Development
Systems development is the process of defining, designing, testing, and implementing a new
software application or program. It could include the internal development of customized systems,
the creation of database systems, or the acquisition of third party developed software.
4.2 Tool/Language Selection
1. Tool for Web development
2. Languages for app development
3. Database
4. Tool for Android development
Notepad++
Html, Css, bootstrap, javascript, and Php
PhpMyAdmin.
Java
5. Tool for Hardware Configuration
Arduino IDE
6. Tool for documentation
MS Word
4.3 Hardware for the System
We are using Android phone And Pc for user side to monitor the parameters and to observe readings
data. We are using Server for storing the readings. We are using Micro Controller Esp32 and Sensors
(temperature sensor (Dallas) – ds18b20, analog ph. meter kit sku: sen0169, atlas scientific do sensor)
to take readings from Water and these readings are sent to web server via GET HTTP Request from
Ethernet Shield.
Following hardware component we are using in our project
1. Microcontroller
ESP32 is a series of low-cost, low-power system on a chip microcontrollers with integrated Wi-Fi
and dual-mode Bluetooth. ... ESP32 is created and developed by Espressif Systems, a Shanghaibased Chinese company, and is manufactured by TSMC using their 40 nm process
2. Temprature sensor DS18B20
This precision thermistor is a solid state device which changes its resistance inversely proportional
with temperature from 150,000 Ohms at the low end to 1,500 Ohms at the high end.
Temperature Sensors measure the amount of heat energy or even coldness that is generated by an
object or system, allowing us to “sense” or detect any physical change to that temperature producing
either an analogue or digital output.
3. Turbidity Sensor
The gravity arduino turbidity sensor detects water quality by measuring the levels of turbidity, or the
opaqueness. It uses light to detect suspended particles in water by measuring the light transmittance
and scattering rate, which changes with the amount of total suspended solids (TSS) in water
4. Ultrasonic Sensor
The ultrasonic sensor is a 4 stick hinder, whose stick names are Vcc, Trigger, Echo and Ground
individually. This sensor is a famous sensor utilized in numerous applications, where separation or
sensitivity is needed. The block consists of two eyes, such as an ultrasonic transmitter and preprogrammable recipients. The sensor ultrasonic transmitter works with a simple high school formula
that passes an ultrasonic wave, and this reflected wave ultrasonic receiver block is observed when
the wave travels the air and it senses the reaction when it opposes any substance
5. Ph Sensor
A pH meter is a logical instrument estimating hydrogen-particle work in water-based arrangements,
its causticity or alkalinity. pH meter estimates the distinction in power between a PHH and one
reference voltage, so the pH meter is here and there alluded to as a "metric pH meter". The difference
in electric energy is related to the acidity of the solution or the pH. The pH meter is used in various
applications ranging from laboratory tests to quality control.
6. LCD 16 *4
16X4 LCD can be used to display 16 characters in 4 rows. It has the ability to display numbers, 
Characters and graphics. It has an inbuilt refreshing circuit, thereby relieving the CPU from the task
of  Refreshing. LCD discussed has total of 14 pins
7. Jumper wires
Jumper Wires. Jumper wires are used for making connections between items on your breadboard
and your Arduino's header pins. Buy jumper wires from Amazon, SparkFun, Adafruit, or Newark.
8. 12v Dc battery
A 12V battery means that the voltage that is supplied under nominal load is 12V, that's it.
Different batteries Can have different maximal current and thus different maximal Power.
4.4 Software Development & Implementation
We have used prototype software development model methodology in our because of following
reasons

It reduces time and costs

Prototyping improves the quality of the specifications and requirements provided to
customers.
The following pointers explain the typical uses of a porotype model:
1) When prototype is shown to the user, he gets a proper clarity and 'feel' of the functionality of
the software and he can suggest changes and modifications.
2) This type of approach of developing the software is used for non-IT-literate people.
3) When client is not confident about the developer's capabilities, he asks for a small prototype to
be built. Based on this model, he judges capabilities of developer.
4) Sometimes it helps to demonstrate the concept to prospective investors to get funding for
project.
5) It reduces risk of failure, as potential risks can be identified early and mitigation steps can be
taken.
6) Iteration between development team and client provides a very good and conductive
environment during project.
7) Time required to complete the project after getting final the SRS reduces, since the developer
has a better idea about how he should approach the project.
ADVANTAGES






The customers get to see the partial product early in the life cycle. This ensures a greater level
of customer satisfaction and comfort.
New requirements can be easily accommodated as there is scope for refinement.
Missing functionalities can be easily figured out.
Errors can be detected much earlier there by saving a lot of effort and cost, besides enhancing
the quality of the software.
The developed prototype can be reused by the developer for more complicated projects in the
future.
Flexibility in design.
4.4.1 Client Side Technology
In Client-Side Technology we are using Html, Css , Bootstrap and for the designing purpose and
we are using Php and JavaScript to perform functionality and to build application.
4.4.1.1 Html, Css and Bootstrap
Html (Hypertext Markup Language)
Hypertext Markup Language is the most basic building block of the Web. It defines the meaning and
structure of web content. Other technologies besides HTML are generally used to describe a web
page's appearance/presentation or functionality/behavior
"Hypertext" refers to links that connect web pages to one another, either within a single website or
between websites. Links are a fundamental aspect of the Web. By uploading content to the Internet
and linking it to pages created by other people, you become an active participant in the World Wide
Web.
Css (Cascading Style Sheets)
CSS is designed to enable the separation of presentation and content, including layout, colors,
and fonts. This separation can improve content accessibility, provide more flexibility and control in
the specification of presentation characteristics, enable multiple web pages to share formatting by
specifying the relevant CSS in a separate .css file, and reduce complexity and repetition in the
structural content.
Bootstrap
Bootstrap is a web framework that focuses on simplifying the development of informative web pages
.The primary purpose of adding it to a web project is to apply Bootstrap's choices of color, size, font
and layout to that project. As such, the primary factor is whether the developers in charge find those
choices to their liking. Once added to a project, Bootstrap provides basic style definitions for all Html
elements. The result is a uniform appearance for prose, tables and form elements across web
browsers. In addition, developers can take advantage of Css classes defined in Bootstrap to further
customize the appearance of their contents. For example, Bootstrap has provisioned for light- and
dark-colored tables, page headings, more prominent pull quotes, and text with a highlight.
4.4.2 Server Side Technology
In server side we are using PHP for functionality.
In this project we used Php is used to get the data from the sever and perform the particular
function like alarms notification
4.4.2.1 PHP
php is a server side scripting language. that is used to develop static websites or dynamic websites
or web applications. php stands for hypertext pre-processor, that earlier stood for personal home
pages.php scripts can only be interpreted on a server that has php installed. The client computers
accessing the php scripts require a web browser only.
4.4.2.3 Android (JAVA)
Java is a programming language first released by Sun Microsystems back in 1995. It can be found
on many different types of devices from smartphones, to mainframe computers. You can use it on
your desktop PC and even on the Raspberry Pi. Java doesn’t compile to native processor code but
rather it relies on a “virtual machine” which understands an intermediate format called Java
bytecode. Each platform that runs Java needs a virtual machine (VM) implementation. On Android
the original VM is called Dalvik. Google has also started previewing its next generation VM called
ART. The job of these virtual machines is to interpret the bytecode, which is really just a set of
instructions similar to the machine code found in CPUs, and execute the program on the processor.
The VMs use a variety of technologies including just-in-time compilation (JIT) and ahead-of-time
compilation (AOT) to speed up the processes.
4.4 Code/Algorithms of important modules
I.
Turbidity
this code is used to measure the turbidity ofwater through turbidity Sensor
*********/
int lcd = 14;
void setup() {
Serial.begin(9600); //Baud rate: 9600
}
void loop() {
int sensorValue = analogRead(lcd);// read the input on analog pin 0:
float voltage = sensorValue * (5.0 / 1024.0); // Convert the analog reading (which goes from 0 1023) to a voltage (0 - 5V):
Serial.println(voltage); // print out the value you read:
delay(1000);
}
II.
Temprature
/*********
this code is used to measure the water temprature through Dallas temprature sensor
*********/
#include <OneWire.h>
#include <DallasTemperature.h>
// GPIO where the DS18B20 is connected to
const int oneWireBus = 23;
// Setup a oneWire instance to communicate with any OneWire devices
OneWire oneWire(oneWireBus);
// Pass our oneWire reference to Dallas Temperature sensor
DallasTemperature sensors(&oneWire);
void setup() {
// Start the Serial Monitor
Serial.begin(9600);
// Start the DS18B20 sensor
sensors.begin();
}
void loop() {
sensors.requestTemperatures();
float temperatureC = sensors.getTempCByIndex(0);
Serial.print(temperatureC);
delay(1000);
}
III.
Ultrasonic Sensor
/*********
this code is used to measure the water level through Ultrasonic Sensor
*********/
#include <UltrasonicSensor.h>
UltrasonicSensor ultrasonic(18, 19);
void setup() {
Serial.begin(9600);
int distance = 22;
ultrasonic.setTemperature(distance);
}
void loop() {
int level = 0.393701;
inches = 12 ;
int distance = ultrasonic.distanceInCentimeters();
distance = level * distance;
distance = inches - distance ;
Serial.print("Water Level: ");
Serial.print(distance);
Serial.println(" inch");
}
IV.
Lcd
/*********
this code is used to show parameters of sensor on lcd
*********/
#include <LiquidCrystal_I2C.h>
// set the LCD number of columns and rows
int lcdColumns = 16;
int lcdRows = 4;
// set LCD address, number of columns and rows
// if you don't know your display address, run an I2C scanner sketch
LiquidCrystal_I2C lcd(0x27, lcdColumns, lcdRows);
void setup(){
// initialize LCD
lcd.init();
// turn on LCD backlight
lcd.backlight();
}
void loop(){
// set cursor to first column, first row
lcd.setCursor(0, 0);
// print message
lcd.print("Smart Fish Farm Monitoring System ");
delay(1000);
// clears the display to print new message
lcd.clear();
// set cursor to first column, second row
lcd.setCursor(0,1);
lcd.print("Supervised By");
lcd.setCursor(2,2);
lcd.print("Dr Aysha Hakim");
delay(1000);
lcd.clear();
}
Complete cod of Project
#define BLYNK_PRINT Serial
#include <WiFi.h>
#include <WiFiClient.h>
#include <BlynkSimpleEsp32.h>
// You should get Auth Token in the Blynk App.
// Go to the Project Settings (nut icon).
char auth[] = "1Tj5QN0-q-kUfrWrAPsIPPdFCJtTpgAt";
// Your WiFi credentials.
// Set password to "" for open networks.
char ssid[] = "password";
char pass[] = "razakhan101";
#include <Wire.h>
#include <LiquidCrystal_I2C.h>
// set the LCD number of columns and rows
LiquidCrystal_I2C lcd(0x27, 16, 4);;
#include <UltrasonicSensor.h>
UltrasonicSensor ultrasonic(18, 19);
#include <OneWire.h>
#include <DallasTemperature.h>
// GPIO where the DS18B20 is connected to
const int oneWireBus = 23;
// Setup a oneWire instance to communicate with any OneWire devices
OneWire oneWire(oneWireBus);
// Pass our oneWire reference to Dallas Temperature sensor
DallasTemperature sensors(&oneWire);
int turbidity = 14;
void setup()
{
lcd.begin();
// Debug console
Serial.begin(9600);
Blynk.begin(auth, ssid, pass);
Serial.begin(9600);
// initialize LCD
// turn on LCD backlight
lcd.backlight();
int distance = 22;
ultrasonic.setTemperature(distance);
}
void loop()
{
Blynk.run();
sensors.requestTemperatures();
float temperatureC = sensors.getTempCByIndex(0);
Serial.print(temperatureC);
delay(1000);
int sensorValue = analogRead(turbidity);// read the input on analog pin 0:
float voltage = sensorValue * (5.0 / 1024.0); // Convert the analog reading (which goes from 0 1023) to a voltage (0 - 5V):
Serial.println(voltage); // print out the value you read:
delay(1000);
int level = 0.393701 ;
int inches = 12 ;
int distance = ultrasonic.distanceInCentimeters();
distance = level * distance;
distance = inches - distance ;
Serial.print("Water Level: ");
Serial.print(distance);
Serial.println(" inch");
Blynk.virtualWrite(23, temperatureC);
Blynk.virtualWrite(19, distance);
delay(1000);
Blynk.virtualWrite(14, voltage);
lcd.setCursor(0, 0);
lcd.print("Smart Fish Pond ");
lcd.setCursor(0, 1);
lcd.print("Temprature : "); lcd.println(temperatureC);
lcd.setCursor(0, 0);
lcd.print("Voltage : "); lcd.println(voltage);
lcd.setCursor(0, 1);
lcd.print("Level : "); lcd.println(distance);
delay(1000);
lcd.clear();
lcd.setCursor(0, 0);
lcd.print("Smart Fish");
lcd.setCursor(0, 1);
lcd.print("Farm Monitoring ");
lcd.setCursor(3, 2);
lcd.print(" System ");
delay(1000);
lcd.clear();
lcd.setCursor(0,0);
lcd.print("Supervised By");
lcd.setCursor(2,1);
lcd.print("Dr Aysha Hakim");
delay(1000);
lcd.clear();
lcd.setCursor(0, 0);
lcd.print("Represented By");
lcd.setCursor(4, 1);
lcd.print("Raza shah ");
lcd.setCursor(1, 1);
lcd.print("Amir Afzal ");
lcd.setCursor(1, 2);
lcd.print("M.shahid ");
delay(1000);
lcd.clear();
}
Chapter 5
User’s Guide
5.1 App interface
Ou project smart fish farm monitoring system is a user friendly we created a simple android app
which have three entities that show the sensor readings
Figure 5.1 show front End of android
5.2 Lcd Display
For the user satisfaction we connect lcd on the our project board for the on spot visuals reading
of sensor will display on the lcd as a real time display
Chapter 6
Conclusion
This project is mainly on building a smart fish farm monitoring system. Small-scale farmers
running on small ponds could not afford to hire workers to man daily operations which
usually consists of monitoring water levels, temperature and feeding fish. Through this a
former can get a notification on his phone and display data on the screen.
It reduces risk of failure, as potential risks can be identified early, and mitigation steps can
be taken.
This ensures a greater level of customer satisfaction and comfort. Functionalities can be
easily figured out.
Errors can be detected much earlier there by saving a lot of effort and cost, besides
enhancing the quality of the software.
The developed prototype can be reused by the developer for more complicated projects in
the future.
References

Kiruthika, S.U., Raja, S.K.S., Jaichandran, R., 2017. IoT based automation of fish farming.
Journal of Advanced Research in Dynamical and Control Systems


Durga, S.B., Nirosha, K., Priyanka, P., Dhanalaxmi, B., 2017. GSM based Fish
Monitoring System Using IOT, International Journal of Mechanical Engineering and
Technology 8(7), pp. 1094–1101.

Francis, E. I., Olowoleni O.J., Ibhaze, A.E., Oni, O., 2017. IoT Enabled Real-Time Fishpond
Management System.

Fourie, C.M., Bhatt, D.V., Silva, B.J., Kumar, A., Hancke, G.P., 2017. A solar-powered fish
pond management system for fish farming conservation. Industrial Electronics (ISIE), 2017
IEEE 26th International Symposium on, pp. 2021-2026. IEEE.

DS18B20 Datasheet specification of the temperature sensors,
https://cdn.sparkfun.com/datasheets/Sensors/Temp/DS18B20.pdf,

Water Level Sensors Float Switch P45 specifications, http://www.dealdx.net/dealdx/viewitem/436952-pp-liquid-water-level-sensor-rightangle-float-switch-p45-white.html,

https://www.dfrobot.com/wiki/index.php/PH_meter(SKU:_SEN0161),.
 https://www.dfrobot.com/wiki/index.php/Gravity:_Analog_Turbidity_ Sensor