AIMC Topic: Insecta

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Illuminating Entomological Dark Matter with DNA Barcodes in an Era of Insect Decline, Deep Learning, and Genomics.

Annual review of entomology Dec 19, 2024
Most insects encountered in the field are initially entomological dark matter in that they cannot be identified to species while alive. This explains the enduring quest for efficient ways to identify collected specimens. Morphological tools came firs...
Entomology Animals Deep Learning Insecta DNA Barcoding, Taxonomic Genomics Biodiversity
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Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images.

Sensors (Basel, Switzerland) Dec 9, 2024
Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition. Tomato (), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and f...
Neural Networks, Computer Agriculture Solanum lycopersicum Insecta Machine Learning Animals Algorithms Deep Learning Image Processing, Computer-Assisted
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Analysis and actuation design of a novel at-scale 3-DOF biomimetic flapping-wing mechanism inspired by flying insects.

Bioinspiration & biomimetics Nov 29, 2024
Insects' flight is imbued with endless mysteries, offering valuable inspiration to the flapping-wing robots. Particularly, the multi-mode wingbeat motion such as flapping, sweeping and twisting in coordination presents advantages in promoting unstead...
Equipment Design Models, Biological Biomimetics Animals Robotics Flight, Animal Wings, Animal Insecta Biomimetic Materials Computer Simulation Biomechanical Phenomena
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Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps.

Pest management science Oct 8, 2024
BACKGROUND: The use of computer vision and deep learning models to automatically classify insect species on sticky traps has proven to be a cost- and time-efficient approach to pest monitoring. As different species are attracted to different colours,...
Color Insecta Animals Insect Control Deep Learning
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Visually guided swarm motion coordination via insect-inspired small target motion reactions.

Bioinspiration & biomimetics Aug 6, 2024
Despite progress developing experimentally-consistent models of insect in-flight sensing and feedback for individual agents, a lack of systematic understanding of the multi-agent and group performance of the resulting bio-inspired sensing and feedbac...
Biomimetics Insecta Flight, Animal Models, Biological Neurons Motion Animals Robotics Computer Simulation
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Bio-inspired compensatory strategies for damage to flapping robotic propulsors.

Journal of the Royal Society, Interface Jul 3, 2024
Natural swimmers and flyers can fully recover from catastrophic propulsor damage by altering stroke mechanics: some fish can lose even 76% of their propulsive surface without loss of thrust. We consider applying these principles to enable robotic fla...
Models, Biological Fishes Swimming Insecta Biomechanical Phenomena Animals Robotics
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Comparison of water and terrestrial jumping in natural and robotic insects.

Annals of the New York Academy of Sciences Jun 19, 2024
Jumping requires high actuation power for achieving high speed in a short time. Especially, organisms and robots at the insect scale jump in order to overcome size limits on the speed of locomotion. As small jumpers suffer from intrinsically small po...
Biomechanical Phenomena Water Robotics Animals Insecta Locomotion
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Detection and recognition of the invasive species, Hylurgus ligniperda, in traps, based on a cascaded convolution neural network.

Pest management science May 27, 2024
BACKGROUND: Hylurgus ligniperda, an invasive species originating from Eurasia, is now a major forestry quarantine pest worldwide. In recent years, it has caused significant damage in China. While traps have been effective in monitoring and controllin...
Insect Control China Insecta Introduced Species Neural Networks, Computer Animals
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Design and control of jumping microrobots with torque reversal latches.

Bioinspiration & biomimetics May 17, 2024
Jumping microrobots and insects power their impressive leaps through systems of springs and latches. Using springs and latches, rather than motors or muscles, as actuators to power jumps imposes new challenges on controlling the performance of the ju...
Animals Robotics Equipment Design Computer Simulation Biomechanical Phenomena Biomimetics Models, Biological Insecta Torque Locomotion
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Automated identification of aquatic insects: A case study using deep learning and computer vision techniques.

The Science of the total environment May 11, 2024
Deep learning techniques have recently found application in biodiversity research. Mayflies (Ephemeroptera), stoneflies (Plecoptera) and caddisflies (Trichoptera), often abbreviated as EPT, are frequently used for freshwater biomonitoring due to thei...
Fresh Water Aquatic Organisms Neural Networks, Computer Biodiversity Deep Learning Insecta Animals Environmental Monitoring Ephemeroptera
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