Course curriculum

    1. Welcome and Overview

    2. The Role of IoT in Agricultural Equipment

    3. Critical Parameters Monitored by IoT Sensors

    4. IoT System Architecture for Agricultural Machinery

    5. Example

    6. Sensor Types and Their Applications

    7. Wireless Data Transmission

    8. Edge Computing in Agricultural IoT

    9. UI for IoT-Enabled Farm Equipment

    10. Key Features of Predictive Maintenance Platforms

    11. Tractor Bearing Failure Prevention

    12. Advanced Predictive Algorithms for Proactive Maintenance

    13. Environmental Factors Affecting Equipment Wear

    14. Case Study

    15. Implementation Guidelines

    16. Sensor Deployment Strategy

    17. Selecting the Right Predictive Maintenance Platform

    1. Training and Maintenance for IoT Systems

    2. Future Outlook

    3. Integration with Autonomous Machinery

    4. Next-Generation Agricultural Sensors

    5. Blockchain in Agricultural Maintenance Records

    6. Challenges in Implementing IoT For Agricultural Equipment

    7. ROI Calculation for IoT Implementation

    8. Case Study

    9. Environmental Impact of IoT in Agriculture

    10. Case Study

    11. The Future of Connected Farming

About this course

  • $295.00
  • 28 lessons
  • 1 hour of video content