Artificial intelligence can benefit the agriculture sector by increasing productivity and sustainability. As the global population grows, AI technologies like drones, automated systems, agricultural robots, remote sensing, and decision support systems can help monitor crop conditions, identify issues, automate processes, and support farmers' decisions. While these applications may have initial financial and expertise barriers, their benefits include enhanced crop yields, quality and safety, efficient farm management, and reduced risks. Overall, AI can help modernize agriculture and optimize outputs to better feed the world's growing population.

1. ARTIFICIAL INTELLIGENCE IN
AGRICULTURE
Prepared by
Mitul Mohapatra
(06-0177-2015)
Guided by
Dr. R. S. Parmar
(Professor)

2. Introduction
Agriculture sector have benefited from incorporation of technological
advances
Several methodologies require high energy input
Agriculture is lacking the system or solution for chronic
problems
The application of the AI in agricultural activities will highly increase the
productivity, sustainability, transportation activities,etc.

3. What is AI?
Deals with the quality data to develop intelligent behaviour in
computers
Intelligent, automated computer based systems
Able to discover patterns and sets
Highly efficient & reliable

4. Why AI?
Current Population 7 billion
Population by 2050 9.8 Billion
2.8 billion
More by
2050

5. Why AI?
Monitoring crop conditions like water stress, nutrient
condition, plant population, soil moisture content etc.
Identification of pest and disease outbreaks
Automating farm activities
Managing crop quality

6. Applications of AI in agriculture
AI
Drones
DSS
RS Ag - Bots
Automated
systems

7. Drones
An Unmanned Aerial Vehicle (UAV) is a small aircraft
without a human pilot
Two ways to control : By human or by onboard computers
Helps in increasing yield and monitor crop growth
Complex algorithms and coding

8. Automated Systems
Operating system with no or just a minimum of manual intervention
Executes difficult operations & without environmental destruction
Capable of precise & repeatable operations
Saves money and time

9. Agricultural Robots
Can perform potentially harmful operations
Mainly applicable in harvesting stage
Replaces human operators
Saves man power and time

10. Remote Sensing
Process of gathering information of an object without touching
the object
Useful in various crop detection, monitoring, etc.
Provides enhanced information rapidly

11. Decision Support System
Consists of a collection of people, procedures, software, and databases
Provide farmers to make vital decisions
Helps farmers in to solve problems
May work : Passively or Actively

12. Demerits
Enhanced nutritional value
Quality & Safety
Higher yields
Decision making
Reduction of Risks
Efficient

13. Merits
Financial constraint
Need for expertise
High maintenance cost
Power hungry
Security constraints

14. Conclusion
Conventional methods are often time consuming
The modern agriculture requires advanced machineries and automated
systems
More emphasis should be given to the automate the various technological
applications in agriculture and allied sectors
Though they may be little expensive but the results of using such advanced
technologies is very beneficial

15. References
• http://aitopics.org/topic/agriculture-natural-resources
• http://www.slideshare.net/njoannah/the-way-ahead-how-drones-sensors-
and-apps-are-rewriting-therules-in-agriculture
• http://www.slideshare.net/njoannah/ai+agriculture
• http://www.slideshare.net/richgarg/Agriculture_Intelligence
• http://www.diva-portal.org/smash/get/diva2:489216/fulltext01.pdf
• http://www.slideshare.net/tseitlin/agritech-funder-investing-report-2015

16. Thank you
for your attention