Species‐level image classification with convolutional neural network enables insect identification from habitus images

Arthropod decline in grasslands and forests is associated with landscape-level drivers

(2019) Sebastian Seibold et al.   NATURE

Shrub shading moderates the effects of weather on arthropod activity in arctic tundra

(2018) Ashley L. Asmus et al.   ECOLOGICAL ENTOMOLOGY

Ant genera identification using an ensemble of convolutional neural networks

(2018) Alan Caio R. Marques et al.   PLoS One

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mechanisms behind the monarch's decline

(2018) Anurag A. Agrawal et al.   SCIENCE

Machine learning for image based species identification

(2018) Jana Wäldchen et al.   Methods in Ecology and Evolution

Climate-driven declines in arthropod abundance restructure a rainforest food web

(2018) Bradford C. Lister et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A computer vision for animal ecology

(2017) Ben G. Weinstein   JOURNAL OF ANIMAL ECOLOGY

Introducing time-lapse cameras in combination with dataloggers as a new method for the field study of caterpillars and microclimate

(2017) Matthias Dolek et al.   JOURNAL OF INSECT CONSERVATION

A survey on image-based insect classification

(2017) Maxime Martineau et al.   PATTERN RECOGNITION

Time-lapse camera trapping as an alternative to pitfall trapping for estimating activity of leaf litter arthropods

(2017) Rachael A. Collett et al.   Ecology and Evolution

Pitfall trap sampling bias depends on body mass, temperature, and trap number: insights from an individual-based model

(2017) Jan Engel et al.   Ecosphere

More than 75 percent decline over 27 years in total flying insect biomass in protected areas

(2017) Caspar A. Hallmann et al.   PLoS One

A review of extensive variation in the design of pitfall traps and a proposal for a standard pitfall trap design for monitoring ground-active arthropod biodiversity

(2016) Grant R. Brown et al.   Ecology and Evolution

Inselect: Automating the Digitization of Natural History Collections

(2015) Lawrence N. Hudson et al.   PLoS One

Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates

(2014) Henry Joutsijoki et al.   Ecological Informatics

Whole-drawer imaging for digital management and curation of a large entomological collection

(2012) Beth Mantle et al.   ZooKeys

No specimen left behind: industrial scale digitization of natural history collections

(2012) Vladimir Blagoderov et al.   ZooKeys

Capture efficiency of pitfall traps is highly affected by sampling interval

(2010) Jens Schirmel et al.   ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA

The influence of weather conditions on the activity of high-arctic arthropods inferred from long-term observations

(2008) Toke T Høye et al.   BMC ECOLOGY