Home ›
Entities
› academia
› Identification of <scp><i>Lycium barbarum</i></scp> varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling<scp>‐</scp>whale optimization algorithm<scp>‐</scp>support vector machine
Identification of <scp><i>Lycium barbarum</i></scp> varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling<scp>‐</scp>whale optimization algorithm<scp>‐</scp>support vector machine
Research article (Journal of Food Process Engineering, 2020) · cited 73× · AI/ML
Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling‐whale optimization algorithm‐support vector machine
Summary
Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling‐whale optimization algorithm‐support vector machine is a scholarly article[1].
Key Facts
Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling‐whale optimization algorithm‐support vector machine'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). Identification of <scp><i>Lycium barbarum</i></scp> varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling<scp>‐</scp>whale optimization algorithm<scp>‐</scp>support vector machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-scp-i-lycium-barbarum-i-scp-varieties-based-on-hyperspectral-imaging-technique-and-competitive-adaptiv
MLA“Identification of <scp><i>Lycium barbarum</i></scp> varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling<scp>‐</scp>whale optimization algorithm<scp>‐</scp>support vector machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-scp-i-lycium-barbarum-i-scp-varieties-based-on-hyperspectral-imaging-technique-and-competitive-adaptiv.
BibTeX@misc{4ortxyz_identification-of-scp-i-lycium-barbarum-i-scp-varieties-based-on-hyperspectral-imaging-technique-and-competitive-adaptiv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of <scp><i>Lycium barbarum</i></scp> varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling<scp>‐</scp>whale optimization algorithm<scp>‐</scp>support vector machine}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-scp-i-lycium-barbarum-i-scp-varieties-based-on-hyperspectral-imaging-technique-and-competitive-adaptiv}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of <scp><i>Lycium barbarum</i></scp> varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling<scp>‐</scp>whale optimization algorithm<scp>‐</scp>support vector machine — https://4ort.xyz/entity/identification-of-scp-i-lycium-barbarum-i-scp-varieties-based-on-hyperspectral-imaging-technique-and-competitive-adaptiv (retrieved 2026-05-24)
