Unmanned Aerial Vehicle (UAV) based mapping of crop water stress
High resolution crop water stress data is essential for the process of optimizing irrigation scheduling and water management. Current ground-based studies are not cost effective for Australian farms. Satellite imagery can provide daily coverage with limited resolutions of approximately 1 km, and data quality is affected by cloud coverage.
The combination of recent UAVs, sensors, and positioning technologies could provide an autonomous mapping solution for precision farming applications. The objective of this research is the development of an autonomous flight and processing UAV-based remote sensing system. This includes the development of a quad-rotor UAV platform, sensing and capture system, and automatic image processing software. Crop water stress is mapped using optical and thermal infrared cameras. This technology can be extended to a wide range of sensors and applications, such as transport monitoring and infrastructure assessment.
Find out more about the Drone Discovery Platform.
Professor Jeff Walker
Associate Professor Steven Micklethwaite