Artificial intelligence spots pests in trail cams, and tracks indigenous plants from orbit

Publicly released:
New Zealand
Photo by Lee Klement on Flickr (CC BY-NC-SA 2.0)
Photo by Lee Klement on Flickr (CC BY-NC-SA 2.0)

Researchers are training AI to find cats, possums, and rats in thousands of hours of trail cam footage. It's part of the $13 million data science programme dubbed TAIAO, which is also looking at how to use artificial intelligence to track changes in the size of protected native kahikatea forests from satellite photography. The researchers are calling for more environmental data to be made open source, so they can look at new creative solutions to environmental problems.

Media release

From: University of Waikato

TAIAO project leads the way for Environmental Research solutions 

A new paper about to be published in the Journal of the Royal Society of New Zealand highlights the importance of having multiple open-source data sets available for Environmental Research. 

Led by the University of Waikato, TAIAO is a data science programme of $13 million (GST exclusive) over seven years, funded by the Ministry of Business, Innovation, and Employment (MBIE). Dr Nick Lim, from the University’s Computing and Mathematical Sciences department says datasets for Environmental research are needed to find environmental solutions over three key fields. 

“The data for predator detection as developed by the University of Waikato feed into the predator free initiative and encompass hundreds of video clips captured using infrared cameras. A second important set of data takes low-resolution satellite images and uses AI to improve the images and create high-resolution data for researchers. 

“And the third key data is around identifying land use and tracking indigenous flora and protected forests using aerial photographs.” 

Dr Lim says making multiple datasets available as open source is key to providing researchers create new solutions to environmental problems. 

“Many of these datasets were used last week in the first Environmental Hackathon, which brought researchers from a number of disciplines together with the aim of creating unique and new solutions to environmental problems by looking at data that may not have been considered until this point.” 

Dr Lim says the ability to access different datasets paves the way to more creative thinking when tackling the problems faced by the environment and climate change. 

“The TAIAO project also contains a collated list of other datasets provided and licensed by our data partners that may be of interest to other researchers. We’re doing a lot of work in protecting the biodiversity of New Zealand, particularly around species classification, and we look forward to working with researchers and analysts in the years to come to continue this important work.”

Journal/
conference:
Journal of the Royal Society of New Zealand
Research:Paper
Organisation/s: University of Waikato
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