AIMC Topic: Moths

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Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot.

Sensors (Basel, Switzerland) Oct 21, 2019
The electroantennogram (EAG) is a technique used for measuring electrical signals from the antenna of an insect. Its rapid response time, quick recovery speed, and high sensitivity make it suitable for odour-tracking tasks employing mobile robots. Ho...
Moths Arthropod Antennae Male Biosensing Techniques Robotics Noise Signal Processing, Computer-Assisted Odorants Algorithms Animals
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Artificial intelligence reveals environmental constraints on colour diversity in insects.

Nature communications Oct 7, 2019
Explaining colour variation among animals at broad geographic scales remains challenging. Here we demonstrate how deep learning-a form of artificial intelligence-can reveal subtle but robust patterns of colour feature variation along an ecological gr...
Temperature Animals Phylogeny Artificial Intelligence Genetic Variation Insecta Climate Deep Learning Color Biodiversity Moths Altitude Species Specificity Skin Pigmentation
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Putting a bug in ML: The moth olfactory network learns to read MNIST.

Neural networks : the official journal of the International Neural Network Society Jun 4, 2019
We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The moth olfactory network is among the simples...
Moths Reward Smell Nerve Net Neural Networks, Computer Machine Learning Brain Computer Simulation Animals Support Vector Machine
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Analysis of the role of wind information for efficient chemical plume tracing based on optogenetic silkworm moth behavior.

Bioinspiration & biomimetics May 31, 2019
Many animals use olfactory information to search for feeding areas and other individuals in real time and with high efficiency. We focus on the chemical plume tracing (CPT) ability of male silkworm moths and investigate an efficient CPT strategy for ...
Algorithms Wind Animals Male Moths Robotics Flight, Animal Models, Biological Optogenetics Odorants
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Mapping the Potential Global Codling Moth (Cydia pomonella L.) Distribution Based on a Machine Learning Method.

Scientific reports Aug 30, 2018
The spread of invasive species may pose great threats to the economy and ecology of a region. The codling moth (Cydia pomonella L.) is one of the 100 worst invasive alien species in the world and is the most destructive apple pest. The economic losse...
Moths Introduced Species Animals Machine Learning Models, Biological Acclimatization
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Biocontrol potential of Halotolerant bacterial chitinase from high yielding novel Bacillus Pumilus MCB-7 autochthonous to mangrove ecosystem.

Pesticide biochemistry and physiology Sep 28, 2016
The multifaceted role of chitinase in medicine, agriculture, environmental remediation and various other industries greatly demands the isolation of high yielding chitinase producing microorganisms with improved properties. The current study aimed to...
Disease Transmission, Infectious Bacillus pumilus Fungicides, Industrial Animals Chitinases Wetlands Moths Soil Microbiology Biological Control Agents RNA, Ribosomal, 16S
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An improved quasi-steady aerodynamic model for insect wings that considers movement of the center of pressure.

Bioinspiration & biomimetics Jul 30, 2015
A quasi-steady aerodynamic model in consideration of the center of pressure (C.P.) was developed for insect flight. A dynamically scaled-up robotic hawkmoth wing was used to obtain the translational lift, drag, moment and rotational force coefficient...
Models, Biological Motion Shear Strength Robotics Equipment Design Flight, Animal Aircraft Computer Simulation Wings, Animal Pressure Biomimetics Animals Rheology Equipment Failure Analysis Stress, Mechanical Moths
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The combined multilayer perceptron and logistic regression (MLP-LR) method better predicted the spread of Hyphantria cunea (Lepidoptera: Erebidae).

Journal of economic entomology Jun 13, 2025
Hyphantria cunea (Lepidoptera: Erebidae) is one of the pests that pose a serious threat to forest and agronomic crops in China. Its spread is influenced by various factors, including environmental factors and anthropogenic factors, and the available ...
Neural Networks, Computer Animals Moths Insect Control Multilayer Perceptrons China Logistic Models Animal Distribution
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Instar identification and weight prediction of (Guenée) larvae using machine learning.

Bulletin of entomological research Feb 1, 2025
The Asian corn borer, (Guenée), emerges as a significant threat to maize cultivation, inflicting substantial damage upon the crops. Particularly, its larval stage represents a critical point characterised by significant economic consequences on maiz...
Larva Body Weight Moths Insect Control Machine Learning Animals
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Testing the equivalency of human "predators" and deep neural networks in the detection of cryptic moths.

Journal of evolutionary biology Feb 1, 2025
Researchers have shown growing interest in using deep neural networks (DNNs) to efficiently test the effects of perceptual processes on the evolution of colour patterns and morphologies. Whether this is a valid approach remains unclear, as it is unkn...
Biological Mimicry Humans Animals Neural Networks, Computer Moths Predatory Behavior
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