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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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