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ARTIFICIAL INTELLIGENCE IN FARMING
Presented To :-
AECS LAB
Presented by :-
Name : Deeravath Venu Gopal
Roll No : 21015A0423
Branch : ECE Regular 3 year
ARTIFICIALINTELLIGENCEIN
FARMING
Abstract :
In the presentation we are going to dive in to the
0000.
Contents :
 Farming
 Agriculture
 Problems in Farming
 Artificial Intelligence
 See and Spray Robot
 Working of Agent
 Advantages of See and Spray Robot
 Conclusion
 References
Farming :
Agriculture :
 The Agriculture is considered as the Backbone of the Indian
Economy.
 About 54.6% of Indian population is engaged in Agriculture and
it contributes around 17.4% in the nations overall GDP(Gross
Domestic Product).
 India stands as the 2nd largest producer of Rice, Wheat,
Sugarcane, Groundnut, vegetables, Fruits and Cotton in the
world after China .
Problems in Farming :-
 Irrigation
 Harvesting
 Pests & weed
 Labour
Artificial Intelligence is the Science and
Engineering of making intelligent machines.
 Artificial Intelligence :- Enables the machine
to think on its own like Human Beings.
 Machine Learning :- Statistical tool for exploring
and analyzing the data and information.
 Deep Learning :- Multi neural network
architecture used to learn new things continuously.
 Open cv :- Open Source Computer Vision
ARTIFICIAL INTELLIGENCE :
See and Spray Robot
See and Spray Robot uses Computer Vision , Artificial
Intelligence and Machine Learning. This smart machine can
detect and make management decisions about every single
plant in the field.
Technical specifications :-
1. GPS Antenna.
2. Tracking Camera
3. Rechargeable Batteries
4. 0.5 m/s (max speed)
5. Fully autonomous navigation based on vision and GPS
6. Ultra-sound sensor for obstacle detection.
Working of agent :
1. Sense & Decide
2. Actions
3. Autonomous
 Sense & Decide:-
The machine sees each and every plant and
distinguishes between Crop plants and Weeds
and determines the appropriate treatment for each
plant using intelligent models developed by computer
vision and Machine Learning.
 Actions:-
Robotic nozzles target pests and unwanted
weeds in real time with great accuracy and
precision and applies herbicides only to pests
and weeds avoiding chemical application on
other Crops.
 Autonomous :-
See and Spray operates entirely autonomously
and is powered by rechargeable batteries. The
user can introduce field boundary information
in the user interface software so that the system
generates a navigation path by considering GPS
positioning and Visuals.
Advantages of see & spray Agent:
 Reduce Herbicide usage
 Improves soil fertility
 Others plants are not effected
 Labour
 Organic products
CONCLUSION :
We can conclude that by using smart and
futuristic technologies like Artificial Intelligence
and Machine Learning in processes like Farming
can lead to a mass production and increase in
the quality by which the cost of production and
the problems faced by the marginal farmers
while farming can be minimized.
references:
 Wikipedia
 www.wipro.towards-future-farming
 www.artificialIntelligence.com
ppt english Lab 21015A0423.pptx

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ppt english Lab 21015A0423.pptx

  • 1. ARTIFICIAL INTELLIGENCE IN FARMING Presented To :- AECS LAB Presented by :- Name : Deeravath Venu Gopal Roll No : 21015A0423 Branch : ECE Regular 3 year
  • 3. Abstract : In the presentation we are going to dive in to the 0000.
  • 4. Contents :  Farming  Agriculture  Problems in Farming  Artificial Intelligence  See and Spray Robot  Working of Agent  Advantages of See and Spray Robot  Conclusion  References
  • 6. Agriculture :  The Agriculture is considered as the Backbone of the Indian Economy.  About 54.6% of Indian population is engaged in Agriculture and it contributes around 17.4% in the nations overall GDP(Gross Domestic Product).  India stands as the 2nd largest producer of Rice, Wheat, Sugarcane, Groundnut, vegetables, Fruits and Cotton in the world after China .
  • 7. Problems in Farming :-  Irrigation  Harvesting  Pests & weed  Labour
  • 8. Artificial Intelligence is the Science and Engineering of making intelligent machines.  Artificial Intelligence :- Enables the machine to think on its own like Human Beings.  Machine Learning :- Statistical tool for exploring and analyzing the data and information.  Deep Learning :- Multi neural network architecture used to learn new things continuously.  Open cv :- Open Source Computer Vision ARTIFICIAL INTELLIGENCE :
  • 9. See and Spray Robot See and Spray Robot uses Computer Vision , Artificial Intelligence and Machine Learning. This smart machine can detect and make management decisions about every single plant in the field. Technical specifications :- 1. GPS Antenna. 2. Tracking Camera 3. Rechargeable Batteries 4. 0.5 m/s (max speed) 5. Fully autonomous navigation based on vision and GPS 6. Ultra-sound sensor for obstacle detection.
  • 10. Working of agent : 1. Sense & Decide 2. Actions 3. Autonomous  Sense & Decide:- The machine sees each and every plant and distinguishes between Crop plants and Weeds and determines the appropriate treatment for each plant using intelligent models developed by computer vision and Machine Learning.
  • 11.  Actions:- Robotic nozzles target pests and unwanted weeds in real time with great accuracy and precision and applies herbicides only to pests and weeds avoiding chemical application on other Crops.  Autonomous :- See and Spray operates entirely autonomously and is powered by rechargeable batteries. The user can introduce field boundary information in the user interface software so that the system generates a navigation path by considering GPS positioning and Visuals.
  • 12. Advantages of see & spray Agent:  Reduce Herbicide usage  Improves soil fertility  Others plants are not effected  Labour  Organic products
  • 13. CONCLUSION : We can conclude that by using smart and futuristic technologies like Artificial Intelligence and Machine Learning in processes like Farming can lead to a mass production and increase in the quality by which the cost of production and the problems faced by the marginal farmers while farming can be minimized.