Automated Classification of Butterfly Species in the Hyderabad Region Using Deep Learning and Image Recognition
Authors
Mohammed Uzair Khan
UG Student, Department of CSE (Data Science), Lords Institute of Engineering and Technology, Hyderabad, India (IN)
Dr.Tasneem Jahan
Associate Professor, Head Department of Zoology, St. Ann’s College for Women, Hyderabad, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1409000012
Subject Category: Engineering and Allied Sciences
Volume/Issue: 14/9 | Page No: 86-91
Publication Timeline
Submitted: 2025-09-27
Published: 2025-09-27
Abstract
Abstract: Butterflies are one of the widely diverse and ecologically significant groups of insects, playing vital roles in pollination, biodiversity monitoring, and ecosystem balance. With the rapid advancement of artificial intelligence, deep learning has emerged as a powerful tool for solving complex image classification problems.
Keywords
Butterfly conservation, Bioindicators, Climate-change, Deep learning, Artificial intelligence
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References
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