AIMC Topic: Insecta

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InsectSound1000 An insect sound dataset for deep learning based acoustic insect recognition.

Scientific data May 9, 2024
InsectSound1000 is a dataset comprising more than 169000 labelled sound samples of 12 insects. The insect sound level spans from very loud (Bombus terrestris) to inaudible to human ears (Aphidoletes aphidimyza). The samples were extracted from more t...
Insecta Acoustics Animals Sound Deep Learning
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Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences May 6, 2024
Automated sensors have potential to standardize and expand the monitoring of insects across the globe. As one of the most scalable and fastest developing sensor technologies, we describe a framework for automated, image-based monitoring of nocturnal ...
Artificial Intelligence Biodiversity Insecta Animals Image Processing, Computer-Assisted
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EResNet-SVM: an overfitting-relieved deep learning model for recognition of plant diseases and pests.

Journal of the science of food and agriculture Apr 27, 2024
BACKGROUND: The accurate recognition and early warning for plant diseases and pests are a prerequisite of intelligent prevention and control for plant diseases and pests. As a result of the phenotype similarity of the hazarded plant after plant disea...
Neural Networks, Computer Plant Diseases Pest Control Support Vector Machine Insecta Animals Deep Learning
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An effective segmentation and attention-based reptile residual capsule auto encoder for pest classification.

Pest management science Apr 25, 2024
PURPOSE: Insect pests are a major global factor affecting agricultural crop productivity and quality. Rapid and precise insect pest detection is crucial for improving handling and prediction techniques. There are several methods for pest detection an...
Deep Learning Image Processing, Computer-Assisted Animals Insect Control Insecta Crops, Agricultural
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Multiple forces facilitate the aquatic acrobatics of grasshopper and bioinspired robot.

Proceedings of the National Academy of Sciences of the United States of America Mar 25, 2024
Aquatic locomotion is challenging for land-dwelling creatures because of the high degree of fluidity with which the water yields to loads. We surprisingly found that the Chinese rice grasshopper , known for its terrestrial acrobatics, could swiftly l...
Grasshoppers Water Robotics Insecta Locomotion Biomechanical Phenomena Animals
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The generalized spring-loaded inverted pendulum model for analysis of various planar reduced-order models and for optimal robot leg design.

Bioinspiration & biomimetics Feb 28, 2024
This paper proposes a generalized spring-loaded inverted pendulum (G-SLIP) model to explore various popular reduced-order dynamic models' characteristics and suggest a better robot leg design under specified performance indices. The G-SLIP model's co...
Leg Models, Biological Robotics Insecta Locomotion Biomechanical Phenomena Gait Foot Animals
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An annotated wing interferential pattern dataset of dipteran insects of medical interest for deep learning.

Scientific data Jan 2, 2024
Several Diptera species are known to transmit pathogens of medical and veterinary interest. However, identifying these species using conventional methods can be time-consuming, labor-intensive, or expensive. A computer vision-based system that uses W...
Diptera Insecta Animals Ceratopogonidae Deep Learning Muscidae
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A Navigation Algorithm to Enable Sustainable Control of Insect-Computer Hybrid Robot with Stimulus Signal Regulator and Habituation-Breaking Function.

Soft robotics Dec 29, 2023
The insect-computer hybrid soft robots are receiving increasing attention due to their excellent motor capabilities, small size, and low power consumption. However, the effective control of insects is limited to minutes since the response from insect...
Robotics Insecta Algorithms Animals
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Deep learning and targeted metabolomics-based monitoring of chewing insects in tea plants and screening defense compounds.

Plant, cell & environment Oct 26, 2023
Tea is an important cash crop that is often consumed by chewing pests, resulting in reduced yields and economic losses. It is important to establish a method to quickly identify the degree of damage to tea plants caused by leaf-eating insects and scr...
Camellia sinensis Tea Insecta Animals Lepidoptera Deep Learning
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Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection.

PloS one Oct 5, 2023
It is of great significance to identify the pest species accurately and control it effectively to reduce the loss of agricultural products. The research results of this project will provide theoretical basis for preventing and controlling the spread ...
Agriculture Algorithms Information Dissemination Neural Networks, Computer Insecta Crops, Agricultural Animals
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