Bird Species Recognition System Using Deep Convolutional Neural Network

Authors

  • Om Raju Bejankiwar Department of computer Science and Engineering Sreenidhi Institute of Science and Technology Author
  • V. Madhava Reddy Department of Computer Science and Engineering Sreenidhi Institute of Science and Technology Author
  • K. Harshith Department of Computer Science and Engineering Sreenidhi Institute of Science and Technology Author
  • Dr. Dheeraj Sundaragiri Department of Computer Science and Engineering Sreenidhi Institute of Science and Technology Author

DOI:

https://doi.org/10.48047/z2xf8m11

Keywords:

Bird species identification, deep learning, transfer learning, convolutional neural networks, attention mechanisms, ecological studies, biodiversity monitoring.

Abstract

The "identification of bird species" through mechanized strategies is a fundamental part of ecological studies and biodiversity monitoring. By the by, this attempt is convoluted by impediments, for example, intra-species variety and between species similitude

Downloads

Download data is not yet available.

References

Bayramoglu, N., Kannala, J., & Heikkilä, J. (2016). Deep learning for magnification independent breast cancer histopathology image classification. Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), 2440-2445. https://doi.org/10.1109/ICPR.2016.7900009 2. Chen, W., Zhang, X., Liu, J., & Wang, J. (2020). Bird species recognition based on deep learning. Ecological Informatics, 55, 101023. https://doi.org/10.1016/j.ecoinf.2019.101023

Downloads

Published

2025-02-03

Issue

Vol. 54 No. 3 (2025): Year 2025, Volume 54, Issue 3

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

Bird Species Recognition System Using Deep Convolutional Neural Network (Om Raju Bejankiwar, V. Madhava Reddy, K. Harshith, & D. . Sundaragiri , Trans.). (2025). Cuestiones De Fisioterapia, 54(3), 2062-2074. https://doi.org/10.48047/z2xf8m11