AIMC Topic: Moths

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Integrating weight and imaging features: A machine learning framework for larval instar identification in (Walker).

Bulletin of entomological research Aug 1, 2025
The oriental armyworm, (Walker), is a highly migratory pest known for its sudden larval outbreaks, which result in severe crop losses. These unpredictable surges pose significant challenges for timely and accurate monitoring, as conventional methods...
Machine Learning Animals Larva Image Processing, Computer-Assisted Body Weight Moths Insect Control
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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 China Logistic Models Animal Distribution Moths Insect Control Multilayer Perceptrons
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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...
Machine Learning Animals Larva Body Weight Moths Insect Control
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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...
Humans Neural Networks, Computer Animals Moths Predatory Behavior Biological Mimicry
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Automatic tracking of free-flying insects using a cable-driven robot.

Science robotics Jun 10, 2020
Flying insects have evolved to develop efficient strategies to navigate in natural environments. Yet, studying them experimentally is difficult because of their small size and high speed of motion. Consequently, previous studies were limited to tethe...
Biomechanical Phenomena Animals Virtual Reality Imaging, Three-Dimensional Robotics Equipment Design Models, Biological Insecta Moths Flight, Animal Pheromones
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