PEDS-AI: A Novel Unmanned Aerial Vehicle Based Artificial Intelligence Powered Visual-Acoustic Pest Early Detection and Identification System for Field Deployment and Surveillance
Author:
Affiliation:
1. The Harker School,San Jose,CA,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10129441/10129531/10129631.pdf?arnumber=10129631
Reference19 articles.
1. Unsupervised sound separation using mixture invariant training;wisdom,2020
2. Detection and classification of soybean pests using deep learning with UAV images
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4. An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection
5. Climate change and locust outbreak in East Africa
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3. Transfer Learning-Based Lightweight SSD Model for Detection of Pests in Citrus;Agronomy;2023-06-26
4. A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning;IEEE Access;2023
5. Heterogeneous Features and Deep Learning Networks Fusion-Based Pest Detection, Prevention and Controlling System Using Iot and Pest Sound Analytics in a Wide Agriculture System;2023
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