Revolutionizing Wildlife Monitoring: A Novel Approach to Camera Trap Image Analysis with YOLOv5-Reference-Cited by-同舟云学术

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Revolutionizing Wildlife Monitoring: A Novel Approach to Camera Trap Image Analysis with YOLOv5

Published:2023-12-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
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Author:

Abood Baydaa Sh. Z.¹,M Manjula B.²,Almoussawi Zainab abed³,Shilpa N⁴,Shakir Aboothar mahmood⁵

Affiliation:

1. National University of Science and Technology,Dhi Qar,Iraq

2. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

3. College of Islamic Science, Ahl Al Bayt University,karbala,Iraq

4. School of Engineering, SR University,Department of ECE,Warangal,Telangana,India

5. The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435785.pdf?arnumber=10435785

Reference15 articles.

1. Continuous observations of forest canopy structure using low-cost digital camera traps

2. Advances in image acquisition and processing technologies transforming animal ecological studies

3. Integrating harvest and camera trap data in species distribution models

4. A Modified ABC-SQP-Based Combined Approach for the Optimization of a Parallel Hybrid Electric Vehicle

5. Using Web images to train a deep neural network to detect sparsely distributed wildlife in large volumes of remotely sensed imagery: A case study of polar bears on sea ice

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