FT-NIR and linear discriminant analysis to classify chickpea seeds produced with harvest aid chemicals-Reference-Cited by-同舟云学术

FT-NIR and linear discriminant analysis to classify chickpea seeds produced with harvest aid chemicals

Published:2021-04 Issue: Volume:342 Page:128324
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Ribeiro João Paulo Oliveira,Medeiros André Dantas de,Caliari Italo Pelição,Trancoso Ana Clara Reis,Miranda Rafaela Marques de,Freitas Francisco Claudio Lopes de,Silva Laércio Junio da,Dias Denise Cunha Fernandes dos Santos

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference35 articles.

1. Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds;Bai;RSC Advances,2020

2. Regras para análise de sementes;Brasil,2009

3. Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit;Cohen;Psychological Bulletin,1968

4. Machine learning for seed quality classification: An advanced approach using merger data from FT-NIR spectroscopy and X-ray imaging;de Medeiros;Sensors,2020

5. Use of spectroscopic methods in combination with linear discriminant analysis for authentication of food products;Esteki;Food Control,2018

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