ARCHIVES
VOL. 9, ISSUE 11 (2024)
Artificial intelligence in entomology research: Species identification, behaviour, disease vector analysis and data processing
Authors
Chude Meghraj V, Narayan Lal Choudhary
Abstract
This review explores the integration of artificial intelligence (AI) in
entomological research, highlighting its potential to revolutionize the field.
Traditional methods of entomology, while still valuable, are increasingly
complemented by AI-driven approaches. The paper discusses current AI
applications in automated species identification, behavioural tracking and
monitoring, disease vector analysis, and data collection and processing. These
technologies offer enhanced accuracy, efficiency, and scale in studying insect
biology, ecology, and behaviour. However, challenges persist, including data
scarcity, model interpretability, and deployment in resource-limited settings.
The review also examines future directions for AI in entomology, emphasizing
its potential in climate change research, pest management, and disease vector
control. The integration of AI with other emerging technologies holds promise
for advancing entomological research and conservation efforts. The paper
concludes by stressing the importance of collaborative efforts between
entomologists and AI specialists to develop tailored solutions that address the
field's unique challenges while maintaining the foundational principles of
entomology.
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Pages:84-89
How to cite this article:
Chude Meghraj V, Narayan Lal Choudhary "Artificial intelligence in entomology research: Species identification, behaviour, disease vector analysis and data processing". International Journal of Entomology Research, Vol 9, Issue 11, 2024, Pages 84-89
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