has been cited by the following article(s):
[1]
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Automatic System for the Detection of Defects on Olive Fruits in an Oil Mill
Applied Sciences,
2021
DOI:10.3390/app11178167
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[2]
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Feasibility of nondestructive detection of apple crispness based on spectroscopy and machine vision
Journal of Food Process Engineering,
2021
DOI:10.1111/jfpe.13802
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[3]
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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
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[4]
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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
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[5]
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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
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[6]
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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
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[7]
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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
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