The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying-Reference-Cited by-同舟云学术

The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying

Published:2017-09-11 Issue:4 Volume:98 Page:1310-1324
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J. Sci. Food Agric

Author:

Onwude Daniel I¹²^ORCID,Hashim Norhashila¹,Abdan Khalina¹,Janius Rimfiel¹,Chen Guangnan³

Affiliation:

1. Department of Biological and Agricultural Engineering; Faculty of Engineering, Universiti Putra, Malaysia; Serdang Selangor Malaysia

2. Department of Agricultural and Food Engineering; Faculty of Engineering, University of Uyo; Uyo Nigeria

3. Faculty of Health, Engineering and Sciences; University of Southern Queensland; Toowoomba, QLD Australia

Funder

Universiti Putra Malaysia

Geran Putra research

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

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4. Studies on suitability of wheat flour blends with sweet potato, colocasia and water chestnut flours for noodle making;Yadav;LWT-Food Sci Technol,2014

5. Characteristics of noodle prepared from orange-fleshed sweet potato, and domestic wheat flour;Ginting;Procedia Food Sci,2015

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