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AI in Agriculture Course – 3 Weeks

Original price was: INR ₹4,998.00.Current price is: INR ₹2,499.00.

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.

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.
  • Program Deliverables

    • Access to e-LMS
    • Real-Time Project for Dissertation
    • Project Guidance
    • Paper Publication Opportunity
    • Self-Assessment
    • Final Examination
    • e-Certification
    • e-Marksheet

    Future Career Prospects

    • Precision Agriculture Specialist
    • AI Agronomist
    • Agricultural Data Scientist
    • AgTech Consultant
    • Farm Automation Engineer
    • Sustainable Agriculture Expert

    Job Opportunities

    • AgTech startups
    • Precision farming companies
    • Government agencies working on sustainable agriculture
    • Agricultural research institutions
    • Large-scale farming operations
MODE

Virtual (Google Meet)

TYPE

Self Paced

LEVEL

Moderate

DURATION

3 Weeks

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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