Blog from March, 2014

This video shows some of the data and first processing from our recent trip to a banana plantation.

We gathered data from a banana plantation near Mareeba in the far north of Australia, at the end of 2013. Using Shrimp , we drove up and down rows of the plantation, acquiring 3D maps and image data.

Farmers typically use a system of coloured bags to denote the expected harvest date, which can be detected and mapped by the system. It is also hoped that in the future, growth rates of shoots or 'suckers' can be measured, to predict maturation times of the fruit directly, many months in advance.

Aquatic weed surveillance using robotic aircraft

We built and tested a prototype robotic aircraft and surveillance system to detect aquatic weeds in inaccessible habitats.

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Detecting Wheel Cacti
This project examined the role of unmanned aerial vehicles in detecting, classifying and mapping infestations of wheel cactus, Opuntia robusta, over large areas of rangelands in outback Australia.
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Wheel cactus which is native and endemic to Mexico has now naturalised in South Australia, New South Wales and Victoria. It is often located in terrain which is difficult to access and monitoring and control by unmanned aerial vehicles and remote sensoring offers significant potential.

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