Using AI to push the boundaries of wildlife survey technologies

In their research, associate professor from the NRS Department Tiejun Wang and his master’s student Zijing Wu developed an AI-model to automatically locate and count large herds of migratory ungulates (wildebeest and zebra). They used their method in the Serengeti-Mara ecosystem using fine-resolution (38–50 cm) satellite imagery.


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Source: Phys.org