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rrjofst
Research & Reviews : Journal of Food Science & Technology Cover

Research & Reviews : Journal of Food Science & Technology

ISSN: 2278-2249

Editors Overview

rrjofst maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.


Dr. Ghulam Hassan Shah

Dr. Ghulam Hassan Shah

Post Harvest Technologist
Arba Minch University, , Ethiopia
Editor in Chief
Research & Reviews : Journal of Food Science & Technology
Email :


Publisher

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
E-mail: [email protected]
(Tel) (+91) 0120- 4781 200
(Mob) (+91) 9810078958, +919667725932

About the Journal

Research & Reviews : Journal of Food Science & Technology: 2278-2249(e) is a peer-reviewed hybrid open-access journal launched in 2011 focused on the publication of current research work carried out under Food Science and Technology. View Full Focus and Scope…

Journal Particulars

Title
Research & Reviews : Journal of Food Science & Technology
Journal Abbreviation
rrjofst
Issues Per Year (Frequency)
3 Issues (Jan-June, July-Dec)
ISSN
2278-2249
Impact Factor(SJIF)
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI
10.37591/RRJOFST
Copyright
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
Starting Year
2012
Subject
Agriculture
Language
English
Publication Format
Hybrid Open Access
Type of Publication
Peer-reviewed Journal (Refereed Journal)
Website
https://journals.stmjournals.com/rrjofst
Address
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301

CODEN
RRJFBT
Principal Contact
Payal

[email protected]

01204746127

Principal Contact
Payal
(+91) 120 4781 234 [email protected]

Latest Article

Vol-13 Issue-02 2024

Regular Issue  Subscription Original Research Published on :- July 3, 2024

Identification of Papaya Fruit Ripening Process Using AI

Jaya M. Pattanshetti1 M. Pattanshetti1, Ms. Nutan N. Patil, Ms. Pallavi S. Khanagonka, Ms. Shivani K. Dharmoji, Ms. Shradha D. Kurangi
Keywords: Artificial Intelligence (AI), Convolution neural network (CNN) Model, YOLO Model, Image preprocessing, Computer Vision, OpenCV library


Regular Issue  Subscription Review Article Published on :- August 14, 2024

Application of Fruit and Vegetables Peels as Functional Ingredients in Baked Cookies: A review

Deeksha Thakur, Zoobiya Islam, Mayuri Rastogi
Keywords: Dietary fibre, fruit and vegetable pomace, cookies, value added products, antioxidants, sensory assessment


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