Autonomous Perception Systems for Horticulture Tree Crops
Shrimp used for tree segmentation of horticulture tree crops and the classification of fruit.
Woody Weed Detection on Cattle Farms
Using the aerial data collected from the MLA project (below) our current research focuses on automatic detection, classification and quantification of woody weeds. Recent advances in perception and machine learning have been applied to improve discrimination between weed species.
Aerial Robots for Vegetation Mapping of Cattle Farms
A number of ongoing projects with Meat and Livestock Australia to look at the impact of autonomous remote sensing from a UAV would have on farming practices.
During 2009 and 2010 flight trials were conducted in the Mitchell Downs grasslands near Julia Creek, West Queensland. During the trials high-resolution airborne imagery was collected from a fixed-wing UAV. The project demonstrated that classified, geo-referenced maps of the area could be built with quick turnaround time and terrestrial weeds could be classified from native vegetation.