Aim
This program introduces participants to cutting-edge AI technologies revolutionizing agriculture, such as precision farming, crop monitoring, and predictive analytics. It provides a strong foundation in leveraging AI to improve crop yield, optimize resource use, and enhance sustainable farming practices.
Program Objectives
- Understand AI’s role in transforming 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 AI applications in sustainable farming.
Program Structure
Module 1: Introduction to AI in Agriculture
- Overview of AI applications in modern farming
- Importance of AI in addressing food security and sustainability
Module 2: 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
Module 3: Predictive Analytics for Crop Yield
- AI models for predicting crop health and yield
- Using weather data and soil conditions in AI predictions
Module 4: 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
Module 5: Automated Agricultural Machinery
- AI-powered autonomous machinery for planting, harvesting, and weeding
- Case studies of robotics in agriculture
Module 6: 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 7: Hands-on Project: Building AI Models for Farming
- Practical session: Implementing a crop monitoring system with AI
- Analyzing soil data and predicting crop health using AI
Participant’s Eligibility
- Agricultural researchers, AI engineers, farmers, and agronomists focusing on smart agriculture.
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.
- Access to e-LMS
- Real-Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self-Assessment
- Final Examination
- e-Certification
- e-Marksheet
- Precision Agriculture Specialist
- AI Agronomist
- Agricultural Data Scientist
- AgTech Consultant
- Farm Automation Engineer
- Sustainable Agriculture Expert
- AgTech startups
- Precision farming companies
- Government agencies working on sustainable agriculture
- Agricultural research institutions
- Large-scale farming operations
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