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Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus)
Research article (Ecological Informatics, 2021) · cited 11× · AI/ML
Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus)
Summary
Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus) is a scholarly article[1].
Key Facts
Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus)'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus). Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-the-potential-to-use-low-cost-imaging-and-an-open-source-convolutional-neural-network-detector-to-support-stoc
MLA“Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-the-potential-to-use-low-cost-imaging-and-an-open-source-convolutional-neural-network-detector-to-support-stoc.
BibTeX@misc{4ortxyz_exploring-the-potential-to-use-low-cost-imaging-and-an-open-source-convolutional-neural-network-detector-to-support-stoc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus)}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-the-potential-to-use-low-cost-imaging-and-an-open-source-convolutional-neural-network-detector-to-support-stoc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus) — https://4ort.xyz/entity/exploring-the-potential-to-use-low-cost-imaging-and-an-open-source-convolutional-neural-network-detector-to-support-stoc (retrieved 2026-05-24)
