Drones for Agriculture: Advanced Sensing and Analysis

In this course you will explore how to gather precise, timely information about crops using Uncrewed Aerial Vehicles (UAVs) or drones. Drones have become useful tools for optimising crop management as they collect valuable spatial information that can help you to optimise yields while conserving precious resources.

Modern UAV platforms can host a range of sensors that collect different types of information. Each of these offers unique insights on crop health. In this course you will learn about available advanced sensing approaches. You will discover what multispectral, hyperspectral, thermal, and LiDAR sensing brings to precision agriculture.

You will gain insights into the latest developments in science and how they can be applied to collect and analyse valuable spatial information that can help you optimise yields while conserving precious resources.

After successful completion of this course students are expected to be able to:

• Explain which UAV sensing systems are available and how they operate
• Interpret data acquired with different sensors
• Understand how different sensors can be used in your application
• Implement a processing workflow for different types of UAV data
• Design an appropriate processing approach based on available datasets and applications at hand
• Evaluate results of UAV data analysis and propose improvements

Assumed Knowledge:

• GRS-52303: Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission