Advancing Taxonomic Classification Through Deep Learning: A Robust Artificial Intelligence Framework for Species Identification Using Natural Images

Species identification is critical for biological studies, ecological monitoring, and conservation efforts. A comprehensive comprehension of the evolutionary mechanisms that lead to biological variety is necessary while species are distinct categories of living organisms; however, naming, identifyin...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.146718-146732
Hauptverfasser:	Habib, Shaheer, Ahmad, Mubashir, Ul Haq, Yasin, Sana, Rabia, Muneer, Asia, Waseem, Muhammad, Pathan, Muhammad Salman, Dev, Soumyabrata
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Animals Artificial intelligence Artificial neural networks Biological system modeling Biomonitoring Classification algorithms Clutter Computational efficiency Computational modeling Computer science Convolutional neural network (CNN) Convolutional neural networks Deep learning Ecological monitoring Ecology Effectiveness Error analysis Image enhancement Machine learning Occlusion Organisms Parameter modification Res-Net-50 Robustness specie recognition Species classification Taxonomy Wildlife conservation
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