Home ›
Entities
› academia
› Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging
Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging
Research article (Food Chemistry, 2020) · cited 200× · AI/ML
Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging
Summary
Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging is a scholarly article[1].
Key Facts
Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging'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). Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-deep-learning-based-regression-approaches-for-determination-of-chemical-compositions-in-dry-black-goji-berrie
MLA“Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-deep-learning-based-regression-approaches-for-determination-of-chemical-compositions-in-dry-black-goji-berrie.
BibTeX@misc{4ortxyz_developing-deep-learning-based-regression-approaches-for-determination-of-chemical-compositions-in-dry-black-goji-berrie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging}}, year = {2026}, url = {https://4ort.xyz/entity/developing-deep-learning-based-regression-approaches-for-determination-of-chemical-compositions-in-dry-black-goji-berrie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging — https://4ort.xyz/entity/developing-deep-learning-based-regression-approaches-for-determination-of-chemical-compositions-in-dry-black-goji-berrie (retrieved 2026-05-24)
