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Computer Vision to Enhance Behavioral Research on Insects

https://doi.org/10.1093/aesa/say062
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Computer-Assisted 3D Kinematic Analysis of All Leg Joints in Walking Insects
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High-Resolution Positional Tracking for Long-Term Analysis of Drosophila Sleep and Locomotion Using the “Tracker” Program
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Machine vision algorithms and applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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3d Motion Tracking of Flying Insects from a Millimeter-Wave Radar Imaging System
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A Practical Approach for Crop Insect Classification and Detection Using Machine Learning
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An optical system to detect, surveil, and kill flying insect vectors of human and crop pathogens
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Introductory Remarks: Toys of the Trade
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Temporal trends: phase-shifted time-series analysis reveals highly correlated reproductive behaviors in Hermetia illucens (Diptera: Stratiomyidae)
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Establish a simple and quantitative deep learning-based method to analyse complicated intra- and inter-species social interaction behaviour for four stag beetle species
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Artificial neuronal networks are revolutionizing entomological research
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Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring
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A cheap electronic sensor automated trap for monitoring the flight activity period of moths
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Automated Software for Counting and Measuring Hyalella Genus Using Artificial Intelligence
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Computer vision application in tracking grooming behaviour in arthropods
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Situación actual de la aplicación y potenciales usos de la visión artificial en la entomología agrícola en Panamá
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Mosquito Host Seeking in 3D Using a Versatile Climate-Controlled Wind Tunnel System
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion
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Temperature Dependency of Insect’s Wingbeat Frequencies: An Empirical Approach to Temperature Correction
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Application of time-lapse camera situated near a light source, for registration insects’ rhythm of attraction to light (Lepidoptera: Noctuidae)
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