H. Karstoft

Towards edge processing of images from insect camera traps

This paper presents an image processing pipeline for analyzing insect camera trap data, enabling detection, tracking, and classification of nocturnal insects, with evaluation of edge computing devices for real-time processing.

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments

This paper presents a deep learning pipeline to monitor arthropod abundance and floral cover using time-lapse camera data, showing a correlation between flower cover and arthropod activity.

Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection

This paper presents an algorithm for hierarchical insect classification using multitask learning and anomaly detection, improving accuracy at higher taxonomic ranks while identifying classification uncertainty.