Automated Bird Species Identification Through Machine Learning Techniques

• Main Authors: Suhil Shoukath, Kambali, Ushashree, R.
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; SF Animal culture
• Online Access: http://eprints.intimal.edu.my/2013/1/jods2024_34.pdf; http://eprints.intimal.edu.my/2013/2/553; http://eprints.intimal.edu.my/2013/; http://ipublishing.intimal.edu.my/jods.html

The taxonomy of bird species is fundamental to ecological research, conservation efforts, and biodiversity monitoring. Traditional identification methods, which rely on field notes and visual assessments by trained ornithologists, are often labor-intensive, time-consuming, and prone to error. In...