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Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines
Research article (Biodiversity and Conservation, 2021) · cited 19× · AI/ML
Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines
Summary
Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines is a scholarly article[1].
Key Facts
Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-improves-acoustic-biodiversity-monitoring-and-new-candidate-forest-frog-species-identification-genus-platy
MLA“Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-improves-acoustic-biodiversity-monitoring-and-new-candidate-forest-frog-species-identification-genus-platy.
BibTeX@misc{4ortxyz_deep-learning-improves-acoustic-biodiversity-monitoring-and-new-candidate-forest-frog-species-identification-genus-platy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-improves-acoustic-biodiversity-monitoring-and-new-candidate-forest-frog-species-identification-genus-platy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines — https://4ort.xyz/entity/deep-learning-improves-acoustic-biodiversity-monitoring-and-new-candidate-forest-frog-species-identification-genus-platy (retrieved 2026-05-24)
