Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review
Clicks: 462
ID: 112239
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
462 views
39 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #1 of 151 articles by views in critical reviews in food science and nutrition
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 151 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Rice is one of the most important staple foods around the world. Authentication of rice is one of the most addressed concerns in the present literature, which includes recognition of its geographical origin and variety, certification of organic rice and many other issues. Good results have been achi …
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (48 words).
Try re-searching for a better abstract.
| Reference Key |
c2019criticalrecent
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Maione C;Barbosa RM;; |
| Journal | critical reviews in food science and nutrition |
| Year | 2019 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
image processing
databases
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
review
pubmed abstract
nih
national institutes of health
national library of medicine
factual
multivariate analysis
computer-assisted
pmid:29363991
doi:10.1080/10408398.2018.1431763
camila maione
rommel melgaço barbosa
discriminant analysis
food analysis*
oryza / chemistry*
oryza / genetics
principal component analysis
spectrophotometry
atomic
spectrum analysis
raman
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.