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Olar Powered Farmbot For Agriculture

The document describes a solar powered farm bot that can be used for agricultural purposes. It is an open source precision agriculture project that consists of a robotic farming machine, software, and documentation. The farm bot aims to create accessible technology to help everyone grow food. It allows users to modify and add to the hardware, software, and documentation. The document then reviews 10 previous literature sources on agricultural robots and their key applications and technologies.

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aswin kumar
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0% found this document useful (0 votes)
370 views35 pages

Olar Powered Farmbot For Agriculture

The document describes a solar powered farm bot that can be used for agricultural purposes. It is an open source precision agriculture project that consists of a robotic farming machine, software, and documentation. The farm bot aims to create accessible technology to help everyone grow food. It allows users to modify and add to the hardware, software, and documentation. The document then reviews 10 previous literature sources on agricultural robots and their key applications and technologies.

Uploaded by

aswin kumar
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PPTX, PDF, TXT or read online on Scribd
You are on page 1/ 35

SOLAR POWERED FARMBOT FOR

AGRICULTURE
Guide Group 13

Assistant Professor NEERAJA A PODUVAL Group Members


ALBERT P P (LVAS16EE065)
ARAVIND P S (VAS16EE011)
ASWIN KUMAR P B (LVAS16EE069)
JISHNA K J (VAS16EE029)
1
INTRODUCTION

● FarmBot is an open source precision agriculture CNCfarming project


consisting of a cartesian coordinate robot farming machine, software and
documentation including a farming data repository.
● The project aims to "Create an open and accessible technology aiding
everyone to grow food and to grow food for everyone.
● FarmBot is an open source project allowing hardware, software and
documentation modifications and additions from users.

2
LITERATURE REVIEW
SI. No AUTHORS TITLE KEY POINTS YEAR

1 A. Nageswara Rao, Dr S Design and 1.AGROBOT consists of fire 2018


Pichi Reddy, N Raju development of bird V robot & seed sowing
seed sowing mechanism
2. The mechanism is
AGROBOT
synchronized to fire bird V
robot

2 Kala H S, Anjali Singh S, Agrobots(a 1.Pesticide used is confined 2018


Amrutha R Patil, Mr. combination of only to infected part & the
Ramachandran Habber, images processing excess use of pesticide is
and data analysis controlled.Here open CV
Mr. P V Vinod
for precision Python is used.
pesticide use) 2.Deep learning is employed.
3.Here general purpose
computer used is Raspberry
Pi

3
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

3 C Jeeva, Saher Mairaj, Agricultural 1.Vibration component utilized as 2018


Archit Keshav Gangal, automation system a part of seed dispensing permits
Farheen with field assisting the control over the stream of
robot, Agrobot seeds.
2.The agrarian robot is intended
to give assistance and help to the
agriculturists.

4 P. Hemalatha,K. Farmbot-a Smart 1.Farmbot is proposed to 2018


Dhanalakshmi, S. Agriculture Assistor integrate agricultural process in a
Matilda and M. Bala Using Internet of single robotic application and
Things take decision with help of cloud
Anand
services.
2.IoT framework is organised
keeping the belief that various
little self sufficient machines
could be more effective than
customary huge tractors and
human exertion. 4
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

5 Laavanya V, Supraja Automatic 1.This system is proposed for a 2018


B, Nidhi A Mehta, garden robot technological solution to the current
Sunder Ganesh S human health hazards involved in
spraying of potentially toxics chemicals
in the confined space of an atmosphere.
2.This bot can performs basic
elementary functions like
ploughing,seed sowing & spraying.

5
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

6 Tom Duvkett, Agricultural 1.This white paper aims to 2018


Simon Robotics: provide an overview of the current impact
Pearson, The Future of and challenges facing
Simon Robotic Agri-tech, as well as
Blackmore, Agriculture Associated ethical considerations.
Bruce Grieve 2.Robotics and Autonomous
Systems (RAS) are set to
transform global industries. These
technologies will have greatest
impact on large sectors of the
Economy with relatively low productivity
such as Agri-Food
(food production from the farm
through to and including
manufacturing to the retail shelf).

6
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

7 Nicola TrimBot2020: 1.Combining semantic and 2018


Strisciuglio, an outdoor intrinsic image information, with
Radim Tylecek, E.J. robot for 3D reconstructed
Van Henten, automatic structures to improve the
Torsten Sattler, gardening SLAM system is one of
Nicolai Petkov , Peter the objectives of the project
Biber , Jochen 2. Path planning and visual
Hemming, servoing of the robotic arm are
Eldert van Henten, also innovative
Marc Pollefeys, solutions that the TrimBot 2020
Theo Gevers , project is aiming at delivering
Thomas Brox , and prototyping.
Robert B. Fisher

7
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

8 Swapnil Legad, Design and 1.The digital leaf image are caught 2017
Swapnil Karmore development of and prepared by many image
agrobot for processing techniques and finds the
pesticide spraying rate of infected region which gives
using gardening the profitable data about sick range.
system 2.By utilizing this acknowledgement
method, it will recognize the potential
issues to the products before its goes
genuinely harm entire field of yields.

9 Jilin Xue, Bowen Agricultural robot 1.Several operations were conducted 2017
FAN, Xin Xin for multipurpose by adding or removing sensing
ZHANG, Young operations in a components replacing actuators &
greenhouse switching control software, with little
FENG
or no change of the platform.
2.The SMC method was applied to
control motion of the designed robot
with differential speed driving.
8
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

10 B. Srinath, Rutveez Automated 1.An algorithm which will enable the robot 2017
Roopam Rout, farmbot to carry out zonal tilting, ploughing,
Vishal Bisht, seeding & harvesting will be
implemented.
Shubhankar
2.The micro controller will input the
Bhardwaj, A Maria parameter into the algorithm &
Jossy accordingly the path will be etched

9
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

11 Amrita Sneha A, Agricultural robot 2015


Abirami E, Ankita for automatic 1.Robotics and Autonomous
A, Mrs. R. Prveena, ploughing and Systems (RAS) are set to
seeding transform global industries.
Mrs. K. Srimeena

12 Prasunu Advanced 1.By utilizing this acknowledgement 2015


Shrivastava, multitasking method, it will recognize the potential
Kushagra Pratap AGROBOT, a issues to the products before its goes
friend of farmer's genuinely harm entire field of yields.
Singh, Akash
Singh, Amritanshu
Srivastava

10
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

13 James Cruz, Scott Farmbot 1.To perform automated ploughing & 2014
Herrington, Bryan simultaneous seeding processing
Rodriguez using Advanced Virtual RISC (AVR)
2.To measure & control humidity in the
field using humidity sensors & water
sprinkler.

14 Peter Biber, Ulrich Weiss, Navigation 1.Here general purpose computer used 2013
Michael Dorna, Amos Albert System of the is Raspberry Pi
Autonomous
Agricultural
Robot

11
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

15 Sajjad Yaghoubi, Autonomous 1Automatic sensing and control (on-the- 2013


Negar Ali Robots for go) for each task is also
Akbarzadeh, Shadi Agricultural Tasks important and many research
Sadeghi and Farm papers have shown that these systems
Bazargani, Sama Assignment and are feasible but most are too slow, and
Sadeghi Future Trends in hence not economically viable, to be
Bazargani, Marjan Agro Robots operated on a manned tractor.
Bamizan, Maryam
Irani Asl

16 Griepentrog, Hans Electric 1. Designed renewable energy supplied 2012


W. ; Jæger- Agricultural Robot for small electric powered robot for
Hansen, Claes with Multi-Layer- outdoor field monitoring & other
Lund; Dühring, Control operation
Karina 2. Energy consumption for different
operation determined based on power
consumption measurement for basic
navigation modes. 12
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

17 Hali Durmus, Ece The design of 1.It focused on mobile autonomous robot 2012
Okay Gunes, general purpose platform which is developed for
Murvet Kiret, autonomous agricultural applications.
agricultural mobile 2.The second stage of this work which is
Burak Berk
robot, AGROBOT the integration of task management with
Ustundag TARBIL.

18 Mr. Chethan M, Mr. Farmbot small 1. Implementation of the wireless is done


Amaresh G, Mr. scale, low cost with the help of BT HC-05 module. 2014
Anudeep C, Mr. farming 2.The robot designed in this project is
automation connected to the user mobile phone over
Krisha
system bluetooth link therefore it is limited to the
bluetooth range.This can be extended
with the help of a bluetooth receiver.

13
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

19 Simon Robotic 1.The approach of treating crop 2005


Blackmore , agriculture - and soil selectively according to
Bill Stout , the future of their needs by small autonomous
Maohua agricultural machines is the natural next step
Wang , Boris mechanisation in the development of Precision
Runov Farming (PF) as it reduces the field scale
right down to the individual plant nor
Phytotechnology.
2.Automatic sensing and control (on-the-
go) for each task is also
important and many research
papers have shown that these systems
are feasible but most are too slow, and
hence not economically viable, to be
operated on a manned tractor.

14
LITERATURE REVIEW
SI.No AUTHORS TITLE KEY POINTS YEAR

20 E.J. Van An 1.This paper reports on a modular 2002


Henten, J. Autonomous concept
Hemming, Robot for of an autonomous robot for harvesting
B.A.J. Van Harvesting vegetable fruit suited for Dutch
Tuijl, J.G. Cucumbers in horticultural practice
Kornet, J. Greenhouses. 2. The vision system detected more than
Meuleman, 95% of the cucumbers in the greenhouse.
J. Bontsema Also the system was able to determine
And E.A. Van the weight and ripeness of the
OS cucumbers. With the 3D vision systems it
was possible to locate the cucumber in
the 3D working environment.

15
CONCLUSION OF LITERATURE REVIEW
● Newer modules must be designed that makes the system suitable for variety of farms.
● Open-source framework has to be written and successfully standardized to lead to wide scale
adoption of such modular systems
● Sensors have to be implemented to make the system more accurate.
● Artificial intelligence are used here for image processing techniques.

16
OBJECTIVES

● To design and implement a scale model of a cheap and open source


agriculture automation system.
● Mainly concentrating on modular structure, centralized control.
● This act as a base where complex systems can be designed.

17
BLOCK DIAGRAM Solar
panel
Display
camera Power Power
Battery converter supply

Raspberry
sensors
Pi

Motor
driver

Stepper Stepper Stepper Stepper Watering


seeder weeder
motor 1 motor 2 motor 3 motor 4 tool
18
DESIGN

19
DESIGN

Max machine area 1m*2m

Max service area 0.9m*1.9m

Max machine height 1m

Max plant height 0.5m

20
COMPONENTS REQUIRED

1. Extrusions
2. Plates and Brackets
3. Plastic Parts
4. Fasteners and Hardwares
5. Drive Train
6. Electronics and Wiring
7. Tubing

21
COMPONENTS REQUIRED
1. Extrusions

22
COMPONENTS REQUIRED
2.Plates and Brackets

23
COMPONENTS REQUIRED
3.Plastic Parts

24
COMPONENTS REQUIRED
4.Fasteners and Hardwares

25
COMPONENTS REQUIRED
5.Drive Train

26
COMPONENTS REQUIRED
6.Electronics and Wiring

27
COMPONENTS REQUIRED
6.Electronics and Wiring

28
COMPONENTS REQUIRED
7.Tubing

29
TIME LINE
SI.No TASK DATE

1 Identification of problems 08/08/2019

2 Development of idea and finalisation 15/08/2019

3 Implementation idea and abstract preparation,


22/08/2019
zeroth presentation

4 Finding of similar papers 29/08/2019

5 Project changed 05/09/2019

6 Selection of IEEE papers and other journals


12/09/2019
related to the idea

7 Literature review 19/09/2019


30
TIME LINE
SI.No TASK DATE

8 Cost estimation 26/09/2019

9 Funding process completion 03/10/2019

10 First evaluation & collection for designing 10/10/2019

11 Second evaluation 17/10/2019

12 Collection of datas for preparation of report 24/10/2019

13 Preparation of rough report 31/10/2019

14 Final report in Latex 07/11/2019

15 Report submission & final presentation 14/11/2019

31
APPLICATION

● Reducing supply chain complexities with digital manufacturing.


● Unexpected demand in the education sector.
● Farmbot used by micro farming technology to reduce manufacturing
complexities.

32
COST ESTIMATION
SI.No Items Amount (Rs)

1 Consumables - soil sensor, camera, stepper motor, structure,


wiring cables and tubes 6000/-
(Do not exceed 20% of the total amount)

2 Equipments - Raspberry pi (2nos) with motor driver


12000/-

3 Travel
2500/-
(Do not exceed 10% of the total amount)

4 Contingency 5000/-

5 Research and literature 2000/-

6 Other
2500/-
(Do not exceed 10% of the total amount)

Total 30000/- 33
FUNDING AGENCY

Applied for funding at A P J Abdul Kalam Technological University “Center for


Engineering Research and Development”.

34
THANK YOU

35

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