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Real‐time insect tracking and monitoring with computer vision and deep learning - Bjerge - 2022 - Remote Sensing in Ecology and Conservation - Wiley Online Library
Robust and simplified machine learning identification of pitfall trap‐collected ground beetles at the continental scale - Blair - 2020 - Ecology and Evolution - Wiley Online Library
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IDENTIFICATION AND CLASSIFICATION | Insect-Pest Management and Control |The National Academies Press
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Agriculture | Free Full-Text | Automatic Detection and Monitoring of Insect Pests—A Review
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Advances in automatic identification of flying insects using optical sensors and machine learning | Scientific Reports
Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network | Scientific Reports
Species‐level image classification with convolutional neural network enables insect identification from habitus images - Hansen - 2020 - Ecology and Evolution - Wiley Online Library
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Sensors | Free Full-Text | Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT
Automating insect monitoring using unsupervised near-infrared sensors | Scientific Reports
Frontiers | Standards and Best Practices for Monitoring and Benchmarking Insects
Insect classification and detection in field crops using modern machine learning techniques - ScienceDirect
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Insect pest monitoring with camera-equipped traps: strengths and limitations | SpringerLink
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Sensors | Free Full-Text | Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT
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Critterpedia: an AI-powered app to identify insect and snake species – Imaging and Computer Vision
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Samples of 50 butterfly species for the automatic identification | Download Scientific Diagram
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