Development of the POLIVAR model using neural networks as a tool to predict and identify monovarietal olive oils-Reference-Cited by-同舟云学术

Development of the POLIVAR model using neural networks as a tool to predict and identify monovarietal olive oils

Published:2023-01 Issue: Volume:143 Page:109278
ISSN:0956-7135
Container-title:Food Control
language:en
Short-container-title:Food Control

Author:

Cervera-Gascó Jorge^ORCID,Rabadán Adrián,López-Mata Eulogio,Álvarez-Ortí Manuel,Pardo José E.

Funder

Universidad de Castilla-La Mancha

European Social Fund

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference52 articles.

1. Neural networks applied to characterize blends containing refined and extra virgin olive oils;Aroca-Santos;Talanta,2016

2. Linear and non-linear quantification of extra virgin olive oil, soybean oil, and sweet almond oil in blends to assess their commercial labels;Aroca-Santos;Journal of Food Composition and Analysis,2019

3. Use of portable Raman spectroscopy in the quality control of extra virgin olive oil and adulterated compound oils;Barros;Vibrational Spectroscopy,2021

4. A systematic review on overfitting control in shallow and deep neural networks;Bejani,2021

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combined effects of cultivar, extraction technology, and geographic origin on physicochemical traits of Moroccan olive oil as revealed by multivariate analysis;Journal of Food Composition and Analysis;2024-09

2. Direct and rapid profiling of triacylglycerols in extra virgin olive oil using UHPLC-MS/MS;Food Control;2024-04

3. A step forward in food science, technology and industry using artificial intelligence;Trends in Food Science & Technology;2024-01

4. An intelligent mushroom strain selection model based on their quality characteristics;Food Bioscience;2023-12

5. Proposal of a New System for Essential Oil Classification Based on Low-Cost Gas Sensor and Machine Learning Techniques;Sensors;2023-06-22