Home ›
Entities
› academia
› Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework
Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework
Research article (Food Research International, 2022) · cited 29× · AI/ML
Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework
Summary
Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework is a scholarly article[1].
Key Facts
Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-moisture-content-in-salted-sea-cucumbers-by-hyperspectral-and-low-field-nuclear-magnetic-resonance-based-on
MLA“Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-moisture-content-in-salted-sea-cucumbers-by-hyperspectral-and-low-field-nuclear-magnetic-resonance-based-on.
BibTeX@misc{4ortxyz_detection-of-moisture-content-in-salted-sea-cucumbers-by-hyperspectral-and-low-field-nuclear-magnetic-resonance-based-on_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-moisture-content-in-salted-sea-cucumbers-by-hyperspectral-and-low-field-nuclear-magnetic-resonance-based-on}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework — https://4ort.xyz/entity/detection-of-moisture-content-in-salted-sea-cucumbers-by-hyperspectral-and-low-field-nuclear-magnetic-resonance-based-on (retrieved 2026-05-24)