AI detects pests in tracking cameras, and tracks native plants from orbit

Sample images in the Karioi Predator Camera dataset with corresponding categories. cat. B, possum. C, a mouse. D, stoat. E is empty. attributed to him: Journal of the Royal Society of New Zealand (2022). DOI: 10.1080 / 03036758.2022.2118321

New paper published in Journal of the Royal Society of New Zealand It highlights the importance of having multiple open source datasets available for environmental research.

Dr Nick Lim, from the University of Waikato’s Department of Computing Science and Mathematics, says the data sets for environmental research There is a need to find environmental solutions in three main areas.

“The data for predator detection as developed by the University of Waikato feeds into the Predator-Free initiative and includes hundreds of videos captured using infrared cameras. A second important set of data takes low-resolution satellite images and uses artificial intelligence to improve images and create high-quality data. Accuracy is for researchers.The third key data is about identification land use Keep track of indigenous plants and protected forests using aerial photos. ”

Dr. Lim says make multiple data sets available open source is the key to helping researchers find 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 goal of creating unique and new solutions to environmental problems by looking at data that might not have been considered up to this point.”

Dr. Lim says that being able to access different data sets paves the way for more creative thinking when addressing problems facing the environment and climate change.

“The TAIAO project also contains a compiled list of other datasets submitted and licensed by our data partners that may be of interest to other researchers. We do a lot of work in protecting New Zealand’s biodiversity, particularly in relation to species taxonomy, and look forward to working with researchers and analysts in the coming years to continue this important work.”

Whale images used in artificial intelligence research

more information:
Nick Lim et al, presenting the TAIAO Project: Providing Resources for Machine Learning from Images of the Natural Environment of New Zealand, Journal of the Royal Society of New Zealand (2022). DOI: 10.1080 / 03036758.2022.2118321

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University of Waikato

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