PMID- 32857095
OWN - NLM
STAT- MEDLINE
DCOM- 20210514
LR  - 20231213
IS  - 1759-9679 (Electronic)
IS  - 1759-9660 (Linking)
VI  - 12
IP  - 35
DP  - 2020 Sep 17
TI  - Soybean seed vigor discrimination by using infrared spectroscopy and machine 
      learning algorithms.
PG  - 4303-4309
LID - 10.1039/d0ay01238f [doi]
AB  - A novel approach to distinguish soybean seed vigor based on Fourier transform 
      infrared spectroscopy (FTIR) associated with chemometric methods is presented. 
      Batches with high and low vigor soybean seeds were analyzed. Support vector 
      machine (SVM), K-nearest neighbors (KNN), and discriminant analysis were applied 
      to the raw spectral and reduced-dimensionality data from PCA (principal component 
      analysis). Proteins, fatty acids, and amides were identified as the main 
      molecules responsible for the discrimination of the batches. The cross-validation 
      tests pointed out that high vigor soybean seeds were successfully discriminated 
      from low vigor ones with an accuracy of 100%. These findings indicate FTIR 
      spectroscopy associated with multivariate analysis as a new alternative approach 
      to discriminate seed vigor.
FAU - Larios, Gustavo
AU  - Larios G
AD  - UFMS - Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil. 
      cicero.cena@ufms.br.
FAU - Nicolodelli, Gustavo
AU  - Nicolodelli G
FAU - Ribeiro, Matheus
AU  - Ribeiro M
FAU - Canassa, Thalita
AU  - Canassa T
FAU - Reis, Andre R
AU  - Reis AR
FAU - Oliveira, Samuel L
AU  - Oliveira SL
FAU - Alves, Charline Z
AU  - Alves CZ
FAU - Marangoni, Bruno S
AU  - Marangoni BS
FAU - Cena, Cicero
AU  - Cena C
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Anal Methods
JT  - Analytical methods : advancing methods and applications
JID - 101519733
SB  - IM
MH  - *Algorithms
MH  - Discriminant Analysis
MH  - Machine Learning
MH  - Seeds
MH  - *Glycine max
EDAT- 2020/08/29 06:00
MHDA- 2021/05/15 06:00
CRDT- 2020/08/29 06:00
PHST- 2020/08/29 06:00 [pubmed]
PHST- 2021/05/15 06:00 [medline]
PHST- 2020/08/29 06:00 [entrez]
AID - 10.1039/d0ay01238f [doi]
PST - ppublish
SO  - Anal Methods. 2020 Sep 17;12(35):4303-4309. doi: 10.1039/d0ay01238f.