Application of artificial neural networks for predicting parameters of commercial vacuum cooling process of baby cos lettuce-Reference-Cited by-同舟云学术

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Application of artificial neural networks for predicting parameters of commercial vacuum cooling process of baby cos lettuce

Published:2021-03-14 Issue:5 Volume:44 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Kongwong Pratsanee¹^ORCID,Boonyakiat Danai²,Pongsirikul Israpong³,Poonlarp Pichaya³⁴

Affiliation:

1. Faculty of Sciences and Agricultural Technology Rajamangala University of Technology Lanna Lampang Thailand

2. Postharvest Technology Innovation Center, Office of the Higher Education Commission Bangkok Thailand

3. Faculty of Agro‐Industry Chiang Mai University Chiang Mai Thailand

4. Cluster of High Valued Product from Thai Rice and Plant for Health Faculty of Agro‐Industry, Chiang Mai University Chiang Mai Thailand

Funder

Chiang Mai University

Ministry of Education – Kingdom of Saudi Arabi

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13674

Reference45 articles.

1. Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

2. Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network

3. Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)

4. Postharvest Physiology and Pathology of Vegetables

5. Artificial neural network modelling of changes in physical and chemical properties of cocoa powder mixtures during agglomeration

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1. Application of artificial neural networks for predicting parameters of commercial vacuum cooling process of baby cos lettuce;Journal of Food Process Engineering;2021-03-14

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