From Drone Images to Field Insights: QGIS for Farmers

Complete QGIS Course for Precision Agriculture

In this 100% hands-on course, you’ll learn how to use QGIS to extract valuable insights that can be directly applied to precision agriculture. Throughout the lessons, we’ll work with drone, satellite, and multispectral imagery to perform essential field analyses, including:

Practical drone mapping with the Mavic Air 2S

Image processing using Agisoft Metashape and DJI Smart Farm Web

Weed identification using drone imagery

Creating localized application maps for spraying drones, including calibration point setup

Detecting planting gaps in crops like sugarcane, citrus, and coffee

Counting plants in citrus orchards and eucalyptus forests

Mapping exposed soil caused by trampling, gaps, or erosion

Working with multispectral imagery, understanding and applying key precision agriculture indices such as NDVI, NDRE, OSAVI, LCI, and more

Automating workflows using QGIS Graphical Modeler to save time and standardize processes

Using major satellite imagery for agriculture, including Sentinel, Landsat, and CBERS (from the Brazil-China CYBERS project)

If you want to master QGIS and generate accurate, actionable analyses with real value for your fields, this course is perfect for you!