Question

Automatic animal movement detection using deep learning in forest boundary areas

Answer 1

Efficient and reliable monitoring of wild animals in their natural habitats is essential to inform conservation and management decisions. Automatic

Answer 2

Explanation:

• Machine learning has been widely applied to movement and location data.

• Unsupervised learning helps study behaviors of less studied species.

• Supervised learning classifies behaviors to pre-defined categories.

• Fast, efficient learning algorithms are needed for big data on animal movements.