Need for Predictive Data Analytics in Cold Chain Management-Reference-Cited by-同舟云学术

Need for Predictive Data Analytics in Cold Chain Management

Published:2020-08-29 Issue: Volume: Page:115-129
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Kale Swati D.,Patil Shailaja C.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6229-7_9

Reference38 articles.

1. NABARD (National Bank for Agriculture and Rural Development) report: Cold Chain Technologies, Transforming Food Supply Chain, May 2017

2. Ndrahaa N, Hsiaoa HI, Vlajicb J, Yang MF. Time-temperature abuse in the food cold chain: review of issues, challenges, and recommendations, Elsevier publication 05/02/2018. Review article

3. Mercier S, Villeneuve S, Mondor M, Uysal I (2017) Time-temperature management along the food cold Chain: a review of recent developments. Comprehensive Rev Food Sci Food Saf, 16

4. Accorsi R, Bortolini M, Baruffaldi G (2017) Internet-of-Things paradigm in food supply chain control and management, Elsevier publication International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, pp 27–30 June 2017, Modena, Italy

5. Chudasama R, Dobariya S, Patel K, Lopes H (2017) DAPS: Dairy analysis and prediction system using technical indicators. IEEE publication, conference paper

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