AIMC Topic: Insect Control

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Deep learning for automated detection of Drosophila suzukii: potential for UAV-based monitoring.

Pest management science Apr 20, 2020
BACKGROUND: The fruit fly Drosophila suzukii, or spotted wing drosophila (SWD), is a serious pest worldwide, attacking many soft-skinned fruits. An efficient monitoring system that identifies and counts SWD in crops and their surroundings is therefor...
Fruit Crops, Agricultural Drosophila Insect Control Male Deep Learning Female Animals Humans
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PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

PloS one Dec 20, 2018
Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown Planthopper (BPH) causes high levels of economic loss in Malaysia. Identification of BPH presence and...
Oryza Insecta Environmental Monitoring Malaysia Neural Networks, Computer Deep Learning Software Algorithms Insect Control Agriculture Humans Animals Pattern Recognition, Automated Electronic Data Processing
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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...
Animals Larva Machine Learning Moths Insect Control Image Processing, Computer-Assisted Body Weight
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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 ...
Multilayer Perceptrons Logistic Models Animal Distribution Animals Moths Neural Networks, Computer China Insect Control
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Machine-learning approach facilitates prediction of whitefly spatiotemporal dynamics in a plant canopy.

Journal of economic entomology Apr 26, 2025
Plant-specific insect scouting and prediction are still challenging in most crop systems. In this article, a machine-learning algorithm is proposed to predict populations during whiteflies (Bemisia tabaci, Hemiptera; Gennadius Aleyrodidae) scouting a...
Machine Learning Hemiptera Gossypium Animals Population Dynamics Insect Control
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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...
Insect Control Body Weight Moths Machine Learning Animals Larva
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Drones against vector-borne diseases.

Science robotics Jun 15, 2020
Uncrewed aerial vehicles can reduce the cost of preventative measures against vector-borne diseases.
Pest Control, Biological Insect Control Vector Borne Diseases Disease Vectors Aircraft Male Mosquito Control Robotics Humans Mosquito Vectors Animals Sterilization, Reproductive
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