AI in Agriculture
Live Registration
BATCH #24
03Seats Left
92% Booked
02
Days
:
00
Hrs
:
00
Min
:
00
Sec
Course Overview
Table of Contents
Program Syllabus
Module 1
About
This program explores how AI-powered solutions are transforming the agricultural sector. Participants will learn to implement AI-driven technologies like drones, sensors, and machine learning models for precision farming, pest control, soil analysis, and crop yield prediction. The course also addresses real-world challenges like climate change and food security, offering AI-based solutions for these pressing issues.
Module 2
Aim
To introduce participants to cutting-edge AI technologies revolutionizing agriculture, such as precision farming, crop monitoring, and predictive analytics. This program provides a strong foundation in leveraging AI to improve crop yield, optimize resource use, and enhance sustainable farming practices.
Module 3
Program Objectives
- Understand AI’s role in revolutionizing agriculture.
- Implement precision farming techniques using AI tools.
- Build predictive models for crop health and yield.
- Learn to use AI in pest and disease management.
- Explore the applications of AI in sustainable farming.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Agriculture
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 4
Program Structure
- Introduction to AI in Agriculture
- Overview of AI applications in modern farming
- Importance of AI in addressing food security and sustainability
- Precision Farming with AI
- AI-based tools for soil analysis and monitoring
- Drones and sensors for crop management
- Machine learning models for precision irrigation and fertilization
- Predictive Analytics for Crop Yield
- AI models for predicting crop health and yield
- Use of weather data and soil conditions in AI predictions
- AI in Pest and Disease Management
- Image recognition techniques for detecting pests and plant diseases
- AI tools for real-time pest control and risk management
- Automated Agricultural Machinery
- AI-powered autonomous machinery for planting, harvesting, and weeding
- Case studies of robotics in agriculture
- Sustainable Agriculture with AI
- AI’s role in reducing resource usage (water, fertilizers) and enhancing sustainability
- Applications of AI in organic farming and reducing environmental impact
Module 5
Video Module TOC
~Video content aligned with weekly modules
Module 6
Week 1 Videos
Theme: Introduction to AI in Agriculture and Core Technologies
- Introduction to AI in Agriculture
- History and Evolution of Agri-Tech
- Overview of AI Techniques: ML, DL, CV, and IoT Integration
- Smart Farming Basics: Precision Agriculture Explained
- Sensors and IoT for Data Collection
- Satellite and Drone Imagery in Crop Monitoring
- Soil Health Monitoring with AI
- Weather Prediction Models and Climate Adaptation
- Week 1 Summary: Tech Landscape and Readiness
Module 7
Week 2 Videos
Theme: Applications in Crop, Soil, and Livestock Management
- AI for Crop Yield Prediction
- Disease and Pest Detection using Computer Vision
- Weed Detection and Autonomous Spraying
- Irrigation Optimization Using Predictive Models
- Livestock Health Monitoring with AI Wearables
- Farm Equipment Automation (Drones, Tractors, Robotics)
- Supply Chain Optimization in AgriTech
- Farm Management Platforms (e.g., IBM Watson, Microsoft FarmBeats)
- Case Study: AI in Smallholder vs. Industrial Farming
Module 8
Week 3 Videos
Theme: Challenges, Ethics, and Future of AI in Agriculture
- Data Quality and Annotation Challenges
- Bias and Fairness in Agricultural AI Models
- Scaling Solutions in Resource-Constrained Environments
- Building Custom AI Pipelines for Agriculture
- Open Source Tools and Datasets for Agri-AI
- Integration with Government and Policy Initiatives
- Startups and Innovation Trends in AgriTech
- Final Project: AI Strategy for a Real-World Farm Scenario
- Future Outlook and Career Roles in Agri-AI
Module 9
Live Lecture Module
Interactive Expert Sessions for AI in Agriculture
Module 10
Lecture 1 (Week 1)
Title: AI in Agriculture: Foundations and Technology Ecosystem
Duration: 60 minutes
Focus: Introduction to AI applications, agri-tech infrastructure, and data pipelines
Guest: Agricultural Data Scientist / Precision Farming Technologist
Interactive: Live demo: Satellite image annotation and NDVI interpretation
Module 11
Lecture 2 (Week 2)
Title: AI for Crop Health and Resource Optimization
Duration: 75 minutes
Focus: Use of computer vision, smart irrigation, and livestock monitoring
Guest: Agri-Robotics Engineer or Agronomist with AI expertise
Interactive: Problem-solving: Optimize irrigation using simulated farm data
Module 12
Lecture 3 (Week 3)
Title: Future-Proofing Agriculture with AI: Scaling and Ethics
Duration: 90 minutes
Focus: Challenges in rural adoption, bias in data, policy alignment, and entrepreneurship
Guest Panel: Startup Founder + Government AgTech Advisor + Data Ethics Expert
Interactive: Live debate: Should AI be subsidized in smallholder farming? + Q&A
Module 13
Intended For
Agricultural researchers, AI engineers, farmers, and agronomists focusing on smart agriculture.
Module 14
Program Outcomes
- Mastery of AI technologies transforming modern agriculture.
- Ability to build and implement AI-driven farming solutions.
- Skills in crop yield prediction, soil analysis, and pest management with AI.
- Understanding of sustainable farming techniques enhanced by AI.
Module 16
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 17
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 18
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 19
Future Career Prospects
- Precision Agriculture Specialist
- AI Agronomist
- Agricultural Data Scientist
- AgTech Consultant
- Farm Automation Engineer
- Sustainable Agriculture Expert
Module 20
Job Opportunities
- AgTech startups
- Precision farming companies
- Government agencies working on sustainable agriculture
- Agricultural research institutions
- Large-scale farming operations
Module 22
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
×
Module 23
![]()
![]()
![]()
![]()
Related Courses
Systems Thinking for …
AI for Waste-to-Energy Systems …
Predictive Analytics for …
Effective Data Labeling for AI …
Module 24
Machine Learning for Optimizing Lipid Nanoparticles (LNPs) in mRNA & Gene Delivery
Machine Learning for Optimizing Lipid Nanoparticles (LNPs) in mRNA & Gene Delivery
Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health
View All Feedbacks
Recent Feedbacks In Other Workshops
none
Instant Access
Need Guidance?
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.