INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
The aim of the study is to apply a statistical approach to analyse the data obtained from the study of the technological parameters of fruit and vegetable juices for a three-year period from 2020 to 2023 in the fruit and vegetable processing plants - Kyustendil region, Bulgaria. The results obtained by the statistical approach and especially by the Cluster Analisis are more than satisfactory: Similarities: Cluster C1: Association 1: all vegetables are united in one cluster, meaning very different technical parameters than the fruits. Interesting here is that some fruits as watermelon, melon, grapefruit and blackberry are included into the vegetable group, on the basis of dissimilarities of their technological parameters of the juices; Cluster C2: Association 2: all fruits are grouped in one association totally different by technological parameters than the vegetable association 1. Dissimilarities: Cluster C1: Association 1: of all fruits from lemon - to sweet red cherry are grouped in this association; Association 2: pumpkin-celery-leaves-potato-onion-corn-water melon-melon, red tomato; Cluster C2 united the green vegetables: Association 1: green bean-zucchini-green pepper-green tomato-cabbage-eggplant-green pepper-green tomato-cabbage-eggplant; Association 2: spinach-red beetroot-carrot-celery root-celery; Celery stem is the united of the associations and it is common for Ass. 1 and Ass. 2.
"Statistical Approach in Juice Technology ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 2, page no.761 - 770, February-2024, Available :http://www.ijsdr.org/papers/IJSDR2402114.pdf
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000338719
Publication Details:
Published Paper ID: IJSDR2402114
Registration ID:210218
Published In: Volume 9 Issue 2, February-2024
DOI (Digital Object Identifier):
Page No: 761 - 770
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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