Evaluation of Different Packaging Materials on Shelf Life and Quality of Minimally Processed Pomegranate Arils (Punica Granatum L.)

2016 ◽  
Author(s):  
Safari Mubariz ◽  
Veena Joshi ◽  
Girwani A ◽  
Tarun Kumar A
Keyword(s):  
Shelf Life ◽  
Punica Granatum ◽  
Packaging Materials ◽  
Minimally Processed ◽  
Punica Granatum L ◽  
Pomegranate Arils

Effect of washing treatments on shelf life and quality of minimally processed ‘Bhagwa’ pomegranate arils

2019 ◽  
pp. 673-682
Author(s):  
D. Ramesh Naik ◽  
D. Manohar Prasad ◽  
V. Joshi ◽  
A.S. Padmavathamma ◽  
C. Syamraj Naik ◽  
...  
Keyword(s):  
Shelf Life ◽  
Minimally Processed ◽  
Pomegranate Arils

scholarly journals Shelf life and quality of minimally processed pumpkins

2019 ◽  
Vol 3 (2) ◽  
pp. 336-342
Author(s):  
Keila Sousa Lima ◽  
Maria J. Pigó da Costa ◽  
Maria Lúcia da S. Lima ◽  
Alex G. Sanches ◽  
Carlos A. M. Cordeiro
Keyword(s):  
Shelf Life ◽  
Minimally Processed

In-Line Sorting of Processed Fruit Using Computer Vision

2013 ◽  
pp. 874-895
Author(s):  
J. Blasco ◽  
N. Aleixos ◽  
S. Cubero ◽  
F. Albert ◽  
D. Lorente ◽  
...  
Keyword(s):  
Machine Vision ◽  
Fruits And Vegetables ◽  
Complete Solution ◽  
Punica Granatum ◽  
Automatic Inspection ◽  
Minimally Processed ◽  
Total Absence ◽  
Similar Appearance ◽  
Punica Granatum L

Nowadays, there is a growing demand for quality fruits and vegetables that are simple to prepare and consume, like minimally processed fruits. These products have to accomplish some particular characteristics to make them more attractive to the consumers, like a similar appearance and the total absence of external defects. Although recent advances in machine vision have allowed for the automatic inspection of fresh fruit and vegetables, there are no commercially available equipments for sorting of minority processed fruits, like arils of pomegranate (Punica granatum L) or segments of Satsuma mandarin (Citrus unshiu) ready to eat. This work describes a complete solution based on machine vision for the automatic inspection and classification of these fruits based on their estimated quality. The classification is based on morphological and colour features estimated from images taken in-line, and their analysis using statistical methods in order to grade the fruit into commercial categories.

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