Prospects of Computer Vision Automated Grading and Sorting Systems in Agricultural and Food Products for Quality Evaluation

2010 ◽  
Vol 1 (4) ◽  
pp. 1-12 ◽  
Author(s):  
V G Narendra ◽  
K S Hareesh
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Food Products ◽  
Automated Grading

Pizza quality evaluation using computer vision––Part 2

2003 ◽  
Vol 57 (1) ◽  
pp. 91-95 ◽  
Author(s):  
Da-Wen Sun ◽  
Tadhg Brosnan
Keyword(s):  
Computer Vision ◽  
Quality Evaluation

Non-destructive and contactless quality evaluation of table grapes by a computer vision system

2019 ◽  
Vol 156 ◽  
pp. 558-564 ◽  
Author(s):  
Dario Pietro Cavallo ◽  
Maria Cefola ◽  
Bernardo Pace ◽  
Antonio Francesco Logrieco ◽  
Giovanni Attolico
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Table Grapes ◽  
Non Destructive

A Computer Vision System for Rice Kernel Quality Evaluation

2002 ◽  
Author(s):  
Hong-sun Yun ◽  
Won-ok Lee ◽  
Hoon Chung ◽  
Hyun-dong Lee ◽  
Jae-ryong Son ◽  
...  
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Kernel Quality

A practical framework for automatic food products classification using computer vision and inductive characterization

2016 ◽  
Vol 175 ◽  
pp. 911-923 ◽  
Author(s):  
Hiram Calvo ◽  
Marco A. Moreno-Armendáriz ◽  
Salvador Godoy-Calderón
Keyword(s):  
Computer Vision ◽  
Food Products

scholarly journals Consumer Understanding of the Date of Minimum Durability of Food in Association with Quality Evaluation of Food Products After Expiration

2020 ◽  
Vol 17 (5) ◽  
pp. 1632 ◽  
Author(s):  
Dorota Zielińska ◽  
Beata Bilska ◽  
Katarzyna Marciniak-Łukasiak ◽  
Anna Łepecka ◽  
Monika Trząskowska ◽  
...  
Keyword(s):  
Shelf Life ◽  
Laboratory Tests ◽  
Sensory Quality ◽  
Quality Evaluation ◽  
Significant Proportion ◽  
Food Products ◽  
Public Benefit ◽  
Physico Chemical ◽  
Food Wastage

Food labelled with a “best before” date has a long shelf life. This study aimed to examine the respondents’ knowledge and understanding regarding the labelling on food products, as well as to assess the microbiological, physico–chemical and the sensory quality of selected durable food products on and after the date specified by the manufacturer. Two methods were used—a survey and laboratory tests. It was found that the majority of respondents have difficulty distinguishing and understanding the terms on the label and that a significant proportion of the respondents consume food products after the “best before” date. Laboratory tests of milk, pasta, mayonnaise and jam confirmed the microbiological safety of the products even six months after the “best before” date. Other features (texture, colour and sensory quality) slightly changed after one month for milk and mayonnaise (the colour had become more yellow) and after three months for pasta (its hardness had decreased) and jam (it had become browner). The possibility of extending the “best before” dates of selected durable foods could be considered, which could allow such products to legally be handed over to public benefit organisations, thereby reducing food wastage.

Principles and Applications of Light Backscattering Imaging in Quality Evaluation of Agro-food Products: a Review

2012 ◽  
Vol 5 (5) ◽  
pp. 1465-1485 ◽  
Author(s):  
Kaveh Mollazade ◽  
Mahmoud Omid ◽  
Fardin Akhlaghian Tab ◽  
Sayed Saeid Mohtasebi
Keyword(s):  
Quality Evaluation ◽  
Food Products
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