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Sri Ramakrishna Institute of Technology,Coimbatore-641010
INNOVATIONS AND RECENT TRENDS IN
MECHANICAL ENGINEERING
(NCIRME 2017)
Title: Smart Agricultural Weed Removal System
Authors:
Hariharan K
Prem Prasanna TJ
Gopal N
Vasanth Nayak V
CONTENTS
Objective
Robot and Robotics
AT Mega 2560
Block Diagram
Working
Working (Contd.)
SOLIDWORKS Design
References
OBJECTIVE
To Develop a real time Agricultural Weed Removal System controlled
with a Smartphone,
FEATURES:
 Wireless Video Transmission Technology and low cost
smartphone(s),
 Embedded C programming - Interfacing Bluetooth module, Motor
driver with Microcontroller.
 Areas of Application:
-Short distance video monitoring,
-By upgrading the proposed system with Image Processing
Techniques, Autonomous Weed Removal System in Agriculture
Industry.
ROBOT AND ROBOTICS
 ROBOT: Electro-Mechanical machine which performs a variety of
tasks that is guided by a computer program or electronic circuitry.
 ROBOTICS: Branch of Technology that deals with the design,
construction, operation and applications of Robots.
 APPLICATIONS: Manufacturing industry, medical science, robots in
space, national defense, transportation, agriculture and almost all
the fields.,
ATMEGA 2560
The Mega 2560 is a microcontroller board based on the ATmega2560.
 54 digital input/output pins (15-PWM outputs),16 analog pins
 4 UARTs (hardware serial ports),
 a 16 MHz crystal oscillator,
 a USB connection,
 a power jack,
 an ICSP header and
 a reset button.
AT MEGA 2560 can be programmed in Embedded C, Arduino IDE.,
BLOCK DIAGRAM
WORKING PHASE-I
Surveillance Part:
-Two smartphones [(i.e.) the surveillance device and the monitoring device] are in
a same Wi-Fi network-IP address is generated.
-Assume the first device as “Mobile A” and the Second device as “Mobile B”.
-“Mobile A” can stream a live video from its camera to “Mobile B”-IP Webcam
Controlling Part:
-Bluetooth module is interfaced with AT Mega 2560 microcontroller along with DC
Motors and Motor Driver.
-Entire setup is placed in small vehicle chassis.
-User can communicate-sending a signal to the Bluetooth Module,with the help of
an Android Application
WORKING PHASE-II
Methods of Weed Removal:
Semi-Automatic Method:
-Control using Android Application.
-User has to control the robot-remove the weed, wherever it
occurs in the farmland.
Fully-Automatic Weed Removal:
-Image Processing Algorithms and Image Comparison
Techniques.
-Microcontroller that is application specific for Image
Processing.
-Specially designed Camera Sensor to detect the weed.
-Robotic gripper to remove the weed which has three degrees
of freedom.
SOLIDWORKS DESIGN
REFERENCES
URL for the complete you tube video demonstration for this project,
 PART-1: https://goo.gl/Cb0baS
 PART-2: https://goo.gl/O7FyWY
 Pavan.C,Dr. B. Sivakumar “Wi-Fi ROBOT FOR VIDEO MONITORING &
SURVEILLANCE SYSTEM” International Journal of Scientific & Engineering Research
Volume 3, Issue 8, August-2012.
 A.Sivasoundari,S.Kalaimani,M.Balamurugan “WIRELESS SURVEILLANCE ROBOT
WITH MOTION DETECTION AND LIVE VIDEO TRANSMISSION” International
Journal of Emerging Science and Engineering (IJESE) ISSN: 2319–6378, Volume-I,
Issue-6 April 2013.
 Saliyah Kahar,Riza Sulaiman,Anton Satria Prabuwono,Mohd Fahmi Mohamad Amran,
Suziyanti Marjudi “Data Transferring Technique for Mobile Robot Controller via Mobile
Technology” 2011 International Conference on Pattern Analysis and Intelligent
Robotics 28-29 June 2011.
QUERIES ???

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Smart Agricultural Weed Removal System - A Concept || Mini-Project || Hariharan K

  • 1. Sri Ramakrishna Institute of Technology,Coimbatore-641010 INNOVATIONS AND RECENT TRENDS IN MECHANICAL ENGINEERING (NCIRME 2017) Title: Smart Agricultural Weed Removal System Authors: Hariharan K Prem Prasanna TJ Gopal N Vasanth Nayak V
  • 2. CONTENTS Objective Robot and Robotics AT Mega 2560 Block Diagram Working Working (Contd.) SOLIDWORKS Design References
  • 3. OBJECTIVE To Develop a real time Agricultural Weed Removal System controlled with a Smartphone, FEATURES:  Wireless Video Transmission Technology and low cost smartphone(s),  Embedded C programming - Interfacing Bluetooth module, Motor driver with Microcontroller.  Areas of Application: -Short distance video monitoring, -By upgrading the proposed system with Image Processing Techniques, Autonomous Weed Removal System in Agriculture Industry.
  • 4. ROBOT AND ROBOTICS  ROBOT: Electro-Mechanical machine which performs a variety of tasks that is guided by a computer program or electronic circuitry.  ROBOTICS: Branch of Technology that deals with the design, construction, operation and applications of Robots.  APPLICATIONS: Manufacturing industry, medical science, robots in space, national defense, transportation, agriculture and almost all the fields.,
  • 5. ATMEGA 2560 The Mega 2560 is a microcontroller board based on the ATmega2560.  54 digital input/output pins (15-PWM outputs),16 analog pins  4 UARTs (hardware serial ports),  a 16 MHz crystal oscillator,  a USB connection,  a power jack,  an ICSP header and  a reset button. AT MEGA 2560 can be programmed in Embedded C, Arduino IDE.,
  • 7. WORKING PHASE-I Surveillance Part: -Two smartphones [(i.e.) the surveillance device and the monitoring device] are in a same Wi-Fi network-IP address is generated. -Assume the first device as “Mobile A” and the Second device as “Mobile B”. -“Mobile A” can stream a live video from its camera to “Mobile B”-IP Webcam Controlling Part: -Bluetooth module is interfaced with AT Mega 2560 microcontroller along with DC Motors and Motor Driver. -Entire setup is placed in small vehicle chassis. -User can communicate-sending a signal to the Bluetooth Module,with the help of an Android Application
  • 8. WORKING PHASE-II Methods of Weed Removal: Semi-Automatic Method: -Control using Android Application. -User has to control the robot-remove the weed, wherever it occurs in the farmland. Fully-Automatic Weed Removal: -Image Processing Algorithms and Image Comparison Techniques. -Microcontroller that is application specific for Image Processing. -Specially designed Camera Sensor to detect the weed. -Robotic gripper to remove the weed which has three degrees of freedom.
  • 10. REFERENCES URL for the complete you tube video demonstration for this project,  PART-1: https://goo.gl/Cb0baS  PART-2: https://goo.gl/O7FyWY  Pavan.C,Dr. B. Sivakumar “Wi-Fi ROBOT FOR VIDEO MONITORING & SURVEILLANCE SYSTEM” International Journal of Scientific & Engineering Research Volume 3, Issue 8, August-2012.  A.Sivasoundari,S.Kalaimani,M.Balamurugan “WIRELESS SURVEILLANCE ROBOT WITH MOTION DETECTION AND LIVE VIDEO TRANSMISSION” International Journal of Emerging Science and Engineering (IJESE) ISSN: 2319–6378, Volume-I, Issue-6 April 2013.  Saliyah Kahar,Riza Sulaiman,Anton Satria Prabuwono,Mohd Fahmi Mohamad Amran, Suziyanti Marjudi “Data Transferring Technique for Mobile Robot Controller via Mobile Technology” 2011 International Conference on Pattern Analysis and Intelligent Robotics 28-29 June 2011.