Machine Learning and Computer Vision for Ecological Inference

Updated: 2 months ago
Location: Melbourne, VICTORIA
Deadline: The position may have been removed or expired!

"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the weather like on the day the photograph was taken? This project aims to extract useful ecological and/or horticultural data from digital images by analysing their content. The aim is to infer information that might not be immediately apparent, even to the photographer, in order to improve our understanding of animal/plant interactions for boosting food production and natural ecosystem sustainability.

#sustainability



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