AI 4 Agritech

Indian Institute of Technology Ropar

भारतीय प्रौद्योगिकी संस्थान रोपड़

AI for Agriculture

Learn AI and ML applications tailored for the agricultural sector, including precision farming and crop yield prediction.

Expert-Led Instruction

Gain insights from top professionals and researchers in AgriTech and AI fields.

Hands-on Projects

Work on real-world AI applications such as crop disease detection and automated segmentation.

Industry-Relevant Curriculum

Learn the latest AI and ML techniques used in modern agriculture.

ADVANCE YOUR EXPERTISE IN AI & AGRICULTURE

Enhance your knowledge with our industry-driven curriculum designed to integrate Artificial Intelligence in modern agriculture. Our course offers a hands-on approach, preparing you for real-world challenges in AgriTech.

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WHY CHOOSE THIS COURSE?

Gain in-depth insights into AI-driven crop monitoring, predictive analytics for farming, and sustainable agricultural solutions. Our program is structured for professionals and students aiming for innovation in AgriTech.

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Course Overview

Our AI in Agriculture course covers key topics such as smart irrigation, disease prediction, and data-driven decision-making. Develop skills that align with the future of precision farming.

Who Should Enroll?

This course is ideal for students, researchers, and professionals in agriculture, AI, and technology looking to enhance their skills and drive innovation in the field.

Benefits of the Program

Get access to expert mentorship, industry collaborations, and real-world project experience. Learn from top professionals and apply AI concepts to revolutionize agriculture.

Join Our Growing Community

Be part of a network of like-minded individuals passionate about AI and Agriculture. Collaborate on research, explore new opportunities, and make an impact in the AgriTech sector.

AI for Agritech – Course Roadmap

Module 1: Course Introduction

Syllabus, Evaluation, and Outcomes
Motivation for AI in Agriculture
Setting up Python, Jupyter Notebook, Google Colab

Module 2: Introduction to AI & ML

Machine Learning Basics: Steps, Types, and Performance Measures
Python Libraries: Numpy, Pandas, scikit-learn

Module 3: Data Types & Processing

Satellite, Drone, Smartphone, Sensor, Time-Series Data
Reading & Storing Data Files in Python

Module 4: Basic Statistics for AI

Mean, Variance, Covariance, Probability Distributions
Statistical Applications in Crop Data

Module 5: Distance Measures & Applications

L1, L2, MSE, Mahalanobis Distance
Crop Recommendation Applications

Course Highlights

Here's what makes this course a complete learning experience

Course Schedule

Start Date: June 1, 2025
Duration: 45 Days for course + internship
Mode: Offline

On-Campus Experience

2-week stay at IIT Ropar
Farm visits & Demo Day
End Exam + Certificate
ID Card & Course Kit

Certification Requirements

80% Attendance
Minimum 40% marks in exam
20 Lectures + 20 Lab Sessions
Final Examination

Course Perks

Hands-on AI Learning
Real Agri Data Exposure
Research & Patent Support
Paid Internship (Selected Projects)

Fun & Recreation

Free 1-day Bhangra Workshop
Evening Volleyball Sessions

Industry Collaboration

Live Case Studies from AgriTech Startups
Hackathons & AI Challenges
Internship & Project Opportunities

Course Fees

Choose the plan that suits your goals

Offline Course

2 Weeks

₹15,000

Accommodation included, food not included

Offline Course + Internship

6 Weeks

₹25,000

Accommodation included, food not included

Faculty Coordinator

Dr. Mukesh Kumar Saini

Associate Professor