AIMC Topic: Larva

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LarvaeCountAI: a robust convolutional neural network-based tool for accurately counting the larvae of Culex annulirostris mosquitoes.

Acta tropica Nov 13, 2024
Accurate counting of mosquito larval populations is essential for maintaining optimal conditions and population control within rearing facilities, assessing disease transmission risks, and implementing effective vector control measures. While existin...
Video Recording Mosquito Control Mosquito Vectors Neural Networks, Computer Animals Larva Culex
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Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs.

Scientific reports Nov 7, 2024
Rapid technological advances and growing participation from amateur naturalists have made countless images of insects in their natural habitats available on global web portals. Despite advances in automated species identification, traits like develop...
Image Processing, Computer-Assisted Conservation of Natural Resources Photography Algorithms Butterflies Artificial Intelligence Animals Larva
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A Biomimetic Adhesive Disc for Robotic Adhesion Sliding Inspired by the Net-Winged Midge Larva.

Soft robotics Oct 16, 2024
Net-winged midge larvae (Blephariceridae) are known for their remarkable ability to adhere to and crawl on the slippery surfaces of rocks in fast-flowing and turbulent alpine streams, waterfalls, and rivers. This remarkable performance can be attribu...
Robotics Equipment Design Biomimetics Animals Larva Adhesiveness Biomimetic Materials Biomechanical Phenomena Wings, Animal Adhesives Friction Thoracica
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A nondestructive technique for the sex identification of third instar Cochliomyia macellaria larvae.

Journal of forensic sciences Sep 2, 2024
Forensic entomology plays an important role in medicolegal investigations by using insects, primarily flies, to estimate the time of colonization. This estimation relies on the development of the flies found at the (death) scene and can be affected (...
Spectrophotometry, Infrared Forensic Entomology Calliphoridae Least-Squares Analysis Discriminant Analysis Machine Learning Female Animals Male Larva Humans
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Artificial neural networks as a tool for seasonal forecast of attack intensity of Spodoptera spp. in Bt soybean.

International journal of biometeorology Aug 13, 2024
Soybean (Glycine max) is the world's most cultivated legume; currently, most of its varieties are Bt. Spodoptera spp. (Lepidoptera: Noctuidae) are important pests of soybean. An artificial neural network (ANN) is an artificial intelligence tool that ...
Plants, Genetically Modified Spodoptera Seasons Glycine max Neural Networks, Computer Forecasting Animals Larva Weather
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A machine learning based method for tracking of simultaneously imaged neural activity and body posture of freely moving maggot.

Biochemical and biophysical research communications Jun 24, 2024
To understand neural basis of animal behavior, it is necessary to monitor neural activity and behavior in freely moving animal before building relationship between them. Here we use light sheet fluorescence microscope (LSFM) combined with microfluidi...
Machine Learning Drosophila Animals Behavior, Animal Microscopy, Fluorescence Larva Drosophila melanogaster Neurons Posture Movement
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Behavioral toxicological tracking analysis of Drosophila larvae exposed to polystyrene microplastics based on machine learning.

Journal of environmental management Apr 26, 2024
Microplastics, as a pivotal concern within plastic pollution, have sparked widespread apprehension due to their ubiquitous presence. Recent research indicates that these minuscule plastic particles may exert discernible effects on the locomotor capab...
Drosophila Polystyrenes Machine Learning Behavior, Animal Animals Larva Drosophila melanogaster Microplastics
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Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural network.

PLoS computational biology Oct 23, 2023
Quantitative ethology requires an accurate estimation of an organism's postural dynamics in three dimensions plus time. Technological progress over the last decade has made animal pose estimation in challenging scenarios possible with unprecedented d...
Humans Neural Networks, Computer Animals Swimming Larva Imaging, Three-Dimensional Zebrafish
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Early Identification of Root Damages Caused by Western Corn Rootworms Using a Minimally Invasive Root Phenotyping Robot-MISIRoot.

Sensors (Basel, Switzerland) Jun 28, 2023
Western corn rootworm (WCR) is one of the most devastating corn rootworm species in North America because of its ability to cause severe production loss and grain quality damage. To control the loss, it is important to identify the infection of WCR a...
Animals Zea mays Larva Coleoptera Robotics Plant Roots
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Automatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching.

Medical and veterinary entomology May 15, 2023
Reports of Rhipicephalus microplus resistant populations worldwide have increased extensively, making it difficult to control this ectoparasite. The adult immersion test, commonly used to screen for acaricide resistance, produces the results only aft...
Rhipicephalus Deep Learning Larva Artificial Intelligence Acaricides Animals
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