A PROJECT ON AGRIBOT

1. ||JAI SRI GURUDEV||
ADICHUNCHANAGIRI UNIVERSITY
BGS INSTITUTE OF TECHNOLOGY
BG Nagara – 571448, Nagamangala Taluk, Mandya District,
Karnataka(INDIA)
“Development of a multipurpose Agribot for leaf disease detection in plant
and Automated Agriculture ””
BACHELOR OF ENGINEERING
IN
ELECTRONICS AND COMMUNICATION ENGINEERING
Under the guidance of:
Mrs. Kavitha B C, BE, MTech, (Ph.D).
Assistant Professor, Dept. of ECE,
BGSIT, BG Nagar, Mandya
Submitted by:
Dhanush Gowda D H (19ECE026)
Dhyan A P (19ECE028)
Goutham D (19ECE034)
Mohanraju V S (19ECE058)

2. CONTENTS
ABSTRACT.
INTRODUCTION.
PROBLEM STATEMENT.
LITERATURE SURVEY.
OBJECTIVES.
HARDWARE AND SOFTWARE COMPONENTS.
METHODOLOGY/BLOCK DIAGRAM.
REFERENCES.

3. ABSTRACT
Agriculture has been chosen as the primary occupation by more than 42% of
the total population in the world. It can also be seen that agriculture is called
as the ‘Backbone of India’, since more than 70% of Indian population
depends on agriculture. Agriculture is the process of cultivation of plants for
producing food, fiber and other desired products. The main aim of Agribot is
to apply robotics technologies on the field of agriculture. According to
recent studies it has been found that farmers still follow traditional methods
to carryout agricultural activities because of which labor force is increased
and accuracy of the final outcome is decreased. Due to lack of knowledge
sometimes farmer fail to identify the disease of the leaf. This project aims to
solve agriculture related issues and increase accuracy of the final outcome by
developing an agriculture robot which does agricultural tasks automatically
such as Digging, leveling, seeding, irrigation along with detection of leaf
disease and indicating farmer with suitable pesticide.

4. INTRODUCTION
There are things that lead to different disease for the plant leaves, which
spoiled crops and finally it will effect on economy of the country. These big
losses can be avoided by early identification of plant diseases. Accurate
detection of plant disease is needed to strengthen the field of agriculture
and economy of our country. Various types of Disease kill leaves in a plant.
Farmers get more difficulties in identifying these diseases, they are unable
to take precaution on those plants due to lack of knowledge on those
diseases. Biomedical is one of the fields to detect plant diseases. In current
day among this field, the image processing methods are suitable, efficient
and reliable field for disease detection with help of plant leaf images. .

5. INTRODUCTION
• An agricultural robot that can be adjusted according to the type of
land. The ploughing teeth for ploughing is removable, so if the land
type is soft a lightweight teeth can be connected and vice versa. It
successfully did the job in a controlled scale down replica of a land. It’s
a working prototype and more functions can be integrated with ease.
As a multipurpose robot the projected cost is mere insignificant when
produced in full scale compared to individual farming machinery.

6. EXISTING SYSTEM
• Agriculture activities can be done by manually.
• No proper information about the plant diseases.
• Diseases can be identified by person according to some features.
• Agriculture field is dependent on formers presence.
DISADVANTAGES OF EXISTING SYSTEM
• Crop yield and leaf disease identification is reduced.
• Crop grown is also less.
• Manual process is not accurate.

7. PROPOSED SYSTEM
• Agriculture activities can be done by Automatically.
• Robot will do all the operations without former or human being.
• Robot will perform digging, Seed sowing, leveling, water sprinkler, pesticide
sprinkler.
• Leaf disease can be identified by python using SVM algorithm.
• SVM Algorithm will give the exact disease name and pesticide name.
• Robot can be operated in solar based.

8. PROBLEM STATEMENT
• During work farmers have to suffer many problems, At the time of spraying
pesticide liquids they have to face some breathing diseases.
• Chemicals used in the pesticide liquids are harmful and dangerous for mankind, if
they don’t pay attention during spraying they have to suffer problems.
• Robots have to do the work also on an unequal surface, so it is hard to do work in
the fields.
• Sensing distance, these robots are works in particular distance sets by user.
• Capital cost of the robot.

9. OBJECTIVES
• To implement a technology in detecting crop disease and pest
accurately.
• Create data base of insecticides for respective pest and disease.
• To provide remedy for the disease that is detected.
• Detection of precise disease , precise pesticide and sprinkling.
• Overall it deals with designing a robot for precise agriculture.

10. LITERARUTE SURVEY
[1] Agricultural Robotics:A Streamlined Approach to Realization of Autonomous Farming H.Pota
,R.Eaton , J.Katupitiya , S.D.Pathirana School of InformationTech and Electronic Engineering,
Australian Defense Force Academy, Canberra , Australia
[2] Advanced RoboticWeeding System byAjit G Deshmukh&V.A. KulkarniJawaherlalNeharu Engineering
College,Aurangabad, Maharashtra, INDIA.
[3]Automation and EmergingTechnology Development of 2d Seed Sowing Robo by S.Chandika ME
AMIE Department of Mechatronics EnggKongu EngineeringCollege Perundurai, Erode 638 052,
Tamilnadu, India
[4] Advanced Agriculture System by Shrinivas R. Zanwar, R. D. Kokate Dept. of Instrumentation
Engineering, Jawaharlal Nehru EngineeringCollege,Aurangabad, Maharashtra, INDIA.

11. LITERARUTE SURVEY
• The paper number [1] presents a streamlined approach to future Precision Autonomous
Farming (PAF). It focuses on the preferred specification of the farming systems including the
farming system layout, sensing systems and actuation units such as tractor-implement
combinations.
• The authors propose the development of the Precision Farming Data Set (PFDS) which is
formed off-line before the commencement of the crop cultivation and discusses its use in
accomplishing reliable, cost effective and efficient farming systems.
• The reference paper number [2] addresses the advanced weed control system which
improves agriculture processes like weed control, based on robotic platform. They have
developed a robotic vehicle having four wheels and steered by dc motor. The machine
controls the weed in the firm by considering particular rows per column at fixed distance
depending on crop.
• The obstacle detection problem has also been considered, sensed by sensors the whole
algorithm, calculation, processing, monitoring was designed with motors &sensors
interfaced with microcontroller.

12. HARDWARE REQUIREMENTS
• HARDWARE REQUIREMTS
• ARDUINO
• LCD
• SOIL MOISTURE SENSORS
• HUMIDITY SENSOR
• TEMPERATURE SENSOR
• ZIGBEE
• DIGITAL CAMERA
• WATER PUMP
• RELAY
• L293D
• DC MOTOR
• POWER SUPPLY

13. SOFTWARE REQUIREMENTS
• EMBEDDED C
• ARDUINO SUITE
• FLASH MAGIC

14. BLOCK DIAGRAM
ROBOT SECTION ARCHITECTURE

15. ARDUINO SUITE

16. METHODOLOGY
 Workload on farmers minimized by using these type of agrobots, and also reduce the chance of danger of
breathingproblems.
 Bymakingtrackfor robot it will beworkedproperlyin slipperyand unequalsurface.
 Byusingchaininsteadof wheelsin the field ,robot canwork more effectively onunequalsurfaceof thefield.
 ByusingHighsensitivitysensorwecanwork far distanceonthe field in anyatmosphere.
 Farmersdon’t haveto goin the field becauserobotsdotheir work
properlyandeffectively.
 Timeconsumedbyrobotsfor sprayingliquidsislessthan mankind,and they canimprovethe workingefficiency

17. ADVANTAGES
1. Time and manual power is reduced.
2. Fewer the errors and works at higher speeds.
3. The machines could easily work around trees, rocks, ponds and other obstacles.
4. The robot will be able to exposed in different weather conditions
5. Increased labor efficiency and decreased cost
DISADVANTAGES
1. It costs a lot of money to make or buy robots.
2. Working in various farmland is difficult
3. Lack of access to poor farmers

18. REFERENCES
[1] J. Katupitiya, R. Eaton, G. Rodnay, A. Cole, and C. Meyer, “Automation of
an agricultural tractor for fruit picking,” in Proceedings of the 2005
International Conference on Robotics and Automation, April 2005.
[2] Wikipedia on microcontroller, IEEE Robotics and Automation
,https://en.wikipedia.org/wiki/Microcontroller
[3] Android application- Android User Interface Development.
[4] JAVA-The Complete Reference Java & J2EE, Seventh Edition. Herbert
Schildt. New York Chicago San Francisco. Lisbon London Madrid Mexico
City.
[5] Thuilot, C. Cariou, L. Cordesses, and P. Martinet, “Automatic guidance of
a farm tractor along curved paths” IEEE International Conference on
Intelligent Robots and Systems.