Hjalte M. R. Mann

Aarhus University — Denmark

Environmental Science · Physical Sciences

13h-index1.4kcitations32works19.02yr avg
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Research Topics

Species Distribution and Climate Change(17), Plant and animal studies(13), Insect and Arachnid Ecology and Behavior(6), Insect and Pesticide Research(6), Remote Sensing in Agriculture(4)

Publications32 total

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments
Ecological Informatics·2024· 13 citedOpen Access
Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects
Philosophical Transactions of the Royal Society B Biological Sciences·2024· 26 citedOpen Access
A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments
2024· 5 citedOpen Access
Overcoming biodiversity blindness: Secondary data in primary citizen science observations
Ecological Solutions and Evidence·2024· 32 citedOpen Access
Deep learning to extract the meteorological by‐catch of wildlife cameras
Global Change Biology·2023· 4 citedOpen Access
Deep learning to extract the meteorological by-catch of wildlife cameras
2023· 1 citedOpen Access
Hierarchical classification of insects with multitask learning and anomaly detection
Ecological Informatics·2023· 34 citedOpen Access
Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection
2023· 4 citedOpen Access
Training data for the Singapore Butterfly Classifier used in the XPRIZE Rainforest semifinals
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Training data for the Singapore Butterfly Classifier used in the XPRIZE Rainforest semifinals
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Quantification of invertebrates on fungal fruit bodies by the use of time‐lapse cameras
Ecological Entomology·2023· 1 citedOpen Access
Accurate detection and identification of insects from camera trap images with deep learning
PLOS Sustainability and Transformation·2023· 110 citedOpen Access
Review for "Getting the bugs out of <scp>AI</scp> : Advancing ecological research on arthropods through computer vision"
2023
Benchmark datasets for detection and identification of insects from camera trap images with deep learning
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Benchmark datasets for detection and identification of insects from camera trap images with deep learning
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Review for "Getting the bugs out of <scp>AI</scp> : Advancing ecological research on arthropods through computer vision"
2022
Accurate detection and identification of insects from camera trap images with deep learning
2022· 10 citedOpen Access
Towards the fully automated monitoring of ecological communities
Ecology Letters·2022· 240 citedOpen Access
Automatic monitoring of plant-pollinator interactions with computer vision and deep learning
2022
Moths complement bumblebee pollination of red clover: a case for day-and-night insect surveillance
Biology Letters·2022· 58 citedOpen Access
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Frequent Co-authors

Toke T. Høye(25), Kim Bjerge(15), Jamie Alison(15), Mads Dyrmann(6), Jake M. Alexander(6), Evelin Iseli(6), Alexandros Iosifidis(4), Carsten Eie Frigaard(4), Nathan Diaz Zeugin(4), Yoko Luise Dupont(4), Henrik Karstoft(4), J. M. Welker(3), Quentin Geissmann(3), Johanna Ärje(2), Florian Leese(2), Kristian Meissner(2), Claus Melvad(2), Jenni Raitoharju(2), Marc Besson(2), Thomas E. Gorochowski(2)