• Dr. Anil Kumar M

Zoological research, encompassing the study of animal behavior, ecology, conservation, and evolution, generates vast and complex datasets that often exceed traditional analytical capabilities. This article explores the transformative potential of Artificial Intelligence (AI) in advancing zoological inquiry across diverse domains. We analyze how AI techniques, including machine learning, computer vision, and deep learning, are being leveraged to enhance data collection, accelerate analysis, and provide novel insights into animal populations, individual behaviors, and ecosystem dynamics. Specific applications discussed include automated species identification from images and audio, tracking and behavioral analysis using computer vision, predictive modeling for conservation efforts, and genomic analysis for evolutionary studies. While highlighting the significant opportunities for increased efficiency, accuracy, and the discovery of previously undetectable patterns, the paper also critically examines the challenges associated with AI integration, such as data quality requirements, model interpretability, ethical considerations in animal monitoring, and the need for interdisciplinary expertise. We argue that AI is an indispensable tool for modern zoology, capable of unlocking unprecedented progress in understanding and protecting the animal kingdom, provided its application is guided by robust scientific principles and ethical considerations.

Artificial Intelligence, Zoological Research, Conservation, Animal Behavior, Ecology, Machine Learning, Computer Vision, Deep Learning, Biodiversity

"UTILIZING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TO PROGRESS ZOOLOGICAL RESEARCH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.21-24, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06005.pdf

"UTILIZING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TO PROGRESS ZOOLOGICAL RESEARCH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp21-24, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06005.pdf