| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Artificial Intelligence Agricultural Data Precision Farming Crop Monitoring Data Analysis |
About the AI in Agriculture: Basics Course
The AI in Agriculture: Basics course is a free, beginner-friendly self-paced program designed to introduce learners to how artificial intelligence is transforming agriculture and farming practices.
The course explains how AI is used to improve crop production, monitor soil and weather conditions, detect plant diseases, and support smart farming decisions. Learners will explore how data and technology are helping farmers increase efficiency, reduce costs, and improve sustainability. This course is ideal for beginners interested in agriculture, technology, and innovation.
Program Highlights
• Free beginner-level AI in agriculture course
• Online self-paced learning format
• Simple explanation of AI applications in farming
• Covers crop monitoring, prediction, and smart farming concepts
• Real-world examples from agriculture and agri-tech
• Suitable for students and non-technical learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to AI in Agriculture
- What is AI in Agriculture?
- Role of Technology in Modern Farming
- Traditional vs Smart Farming
- Applications of AI in Agriculture
Module 2: Agricultural Data and AI
- Types of Agricultural Data: Soil, Weather, and Crop Data
- Introduction to Data Collection in Farming
- Sensors and Data Sources
- Importance of Data in Farming Decisions
Module 3: AI Applications in Farming
- Crop Yield Prediction Basics
- Disease Detection in Plants
- Soil Health Monitoring
- Precision Agriculture Concepts
Module 4: Smart Farming and Automation
- Use of AI in Irrigation and Resource Management
- Drones and Remote Monitoring Basics
- Automation in Farming Equipment
- Improving Efficiency and Sustainability
Module 5: Future of AI in Agriculture
- Emerging Trends in Agri-Tech
- AI for Sustainable Agriculture
- Career Opportunities in AI and Agriculture
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Artificial Intelligence Agricultural Data Precision Farming Crop Monitoring Data Analysis
Real-World Applications
- Using AI for crop yield prediction and farm planning
- Detecting plant diseases using image analysis
- Monitoring soil and weather conditions for better farming decisions
- Improving irrigation and resource usage
- Supporting sustainable and smart agriculture practices
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, farmers, agri-entrepreneurs, and professionals interested in understanding how AI is used in agriculture.
- It is also useful for learners from agriculture, environmental science, engineering, technology, and business backgrounds.
Certification
