Course Outline

Introduction

Overview of Agricultural Drones

Working with Drone Technology for Sustainable Agriculture

Exploring Uses of Agricultural Drones

Monitoring Using Remote Sensing

Choosing the Right Drone

Integrating with Farm Management Information Systems (FMIS)

Learning About Related Legislation and Regulations

Mapping the Terrain to Acquire Data

Planning the Flight Mission Using Available Software and Tools

Evaluating and Processing the Data Acquired

Analyzing Captured Imagery

Making Decisions Based on Results

Summary and Conclusion

Requirements

  • Basic understanding of computer science and engineering

Audience

  • Agriculture technicians
  • Agriculture researchers
  • Computer and mechanical engineers
  21 Hours
 

Testimonials

Related Courses

Aerial Robotics

  21 hours

Drone Fundamentals

  7 hours

Artificial Intelligence (AI) for Robotics

  21 hours

AI and Robotics for Nuclear - Extended

  120 hours

AI and Robotics for Nuclear

  80 hours

Machine Learning for Robotics

  21 hours

Natural Language Processing (NLP) - AI/Robotics

  21 hours

ROS-Industrial

  14 hours

Semiconductor Fundamentals

  35 hours

Semiconductor Physics

  21 hours

Amazon Web Services (AWS) RoboMaker

  21 hours

Building A Robot from the Ground Up

  28 hours

Robotics in business - AI/Robotics

  14 hours

Smart Robots for Developers

  84 hours

UiPath for Intelligent Process Automation (IPA)

  14 hours