Evaluating the method reproducibility of deep learning models in biodiversity research

Evaluating the method reproducibility of deep learning models in biodiversity research

Artificial intelligence (AI) is revolutionizing biodiversity research by enabling advanced data analysis, species identification, and habitats monitoring, thereby enhancing conservation efforts. Ensuring reproducibility in AI-driven biodiversity research is crucial for fostering transparency, verify...

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Bibliographic Details
Main Authors: Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Jitendra Gaikwad, Luiz Gadelha, Sheeba Samuel
Format: Article
Language:English
Published: PeerJ Inc. 2025-02-01
Series:PeerJ Computer Science
Subjects:
Reproducibility
Deep learning
Metadata
Biodiversity
Online Access:https://peerj.com/articles/cs-2618.pdf
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