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Advances in soil arthropod identification: Integrating morphological, molecular, and AI-based approaches
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DOI：10.1016/j.ejsobi.2026.103812.png)
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Abstract
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• Soil arthropods are key indicators of soil health and ecosystem functioning. • Morphological identification requires expert taxonomic skills and is time consuming. • Molecular tools enable high-throughput biodiversity screening. • AI-driven image analysis provides reliable automated sorting of soil fauna to higher taxonomic ranks. • Integrating morphological, molecular, and AI approaches improves soil monitoring.
Keywords:
Soil arthropods
Molecular tools
AI-driven image analysis
Taxonomic identification
Soil health
Journal
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3.3
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1.7K
Citations:
4.8K
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