Using a Visible Vision System for On-Line Determination of Quality Parameters of Olive Fruits

ISSN Print: 2157-944X
ISSN Online: 2157-9458
www.scirp.net/journal/fns
E-mail: [email protected]

Citations

"Using a Visible Vision System for On-Line Determination of Quality Parameters of Olive Fruits"
written by Elena Guzmán, Vincent Baeten, Juan Antonio Fernández Pierna, José A. García-Mesa,
published by Food and Nutrition Sciences, Vol.4 No.7A, 2013

has been cited by the following article(s):

[1]	Automatic system for the detection of defects on olive fruits in an oil mill
	Applied Sciences, 2021

[2]	Feasibility of nondestructive detection of apple crispness based on spectroscopy and machine vision
	Journal of Food Process …, 2021

[3]	CLUSTERING METHOD OF TOMATO RIPENESS IDENTIFICATION
	African Journal of Sustainable Agricultural Development, 2021

[4]	Rapid method based on computer vision to determine the moisture and insoluble impurities content in virgin olive oils
	2020

[5]	КЛАССИФИКАЦИЯ КАЧЕСТВА ЦИТРУСОВЫХ НА ОСНОВЕ РАЗМЕРА С ИСПОЛЬЗОВАНИЕМ ОБРАБОТКИ ЦИФРОВЫХ ИЗОБРАЖЕНИЙ
	2019

[6]	Novel technologies for monitoring the in‐line quality of virgin olive oil during manufacturing and storage
	Journal of the Science of Food and Agriculture, 2016

[7]	A survey on internal defect detection in fruits by non-intrusive methods
	2016

[8]	Image processing system for automated classification date fruit
	2014

[9]	Manuscript Info Abstract
	International Journal, 2014

[10]	Artificial vision and chemometrics analyses of olive stones for varietal identification of five French cultivars
	Computers and Electronics in Agriculture, 2014

[1]	Automatic System for the Detection of Defects on Olive Fruits in an Oil Mill Applied Sciences, 2021 DOI:10.3390/app11178167

[2]	Feasibility of nondestructive detection of apple crispness based on spectroscopy and machine vision Journal of Food Process Engineering, 2021 DOI:10.1111/jfpe.13802

[3]	Rapid method based on computer vision to determine the moisture and insoluble impurities content in virgin olive oils Food Control, 2020 DOI:10.1016/j.foodcont.2020.107210

[4]	CITRUS FRUIT QUALITY CLASSIFICATION BASED ON SIZE USING DIGITAL IMAGE PROCESSING Siberian Herald of Agricultural Science, 2019 DOI:10.26898/0370-8799-2018-5-12

[5]	Novel technologies for monitoring the in-line quality of virgin olive oil during manufacturing and storage Journal of the Science of Food and Agriculture, 2016 DOI:10.1002/jsfa.7733

[6]	Artificial vision and chemometrics analyses of olive stones for varietal identification of five French cultivars Computers and Electronics in Agriculture, 2014 DOI:10.1016/j.compag.2014.01.009