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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.
Onwude, Daniel I; Hashim, Norhashila; Abdan, Khalina; Janius, Rimfiel; Chen, Guangnan.
Affiliation
  • Onwude DI; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra, Malaysia, Serdang, Selangor, Malaysia.
  • Hashim N; Department of Agricultural and Food Engineering, Faculty of Engineering, University of Uyo, Uyo, Nigeria.
  • Abdan K; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra, Malaysia, Serdang, Selangor, Malaysia.
  • Janius R; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra, Malaysia, Serdang, Selangor, Malaysia.
  • Chen G; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra, Malaysia, Serdang, Selangor, Malaysia.
J Sci Food Agric ; 98(4): 1310-1324, 2018 Mar.
Article in En | MEDLINE | ID: mdl-28758207
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computers / Neural Networks, Computer / Ipomoea batatas / Plant Tubers / Desiccation Type of study: Prognostic_studies Language: En Journal: J Sci Food Agric Year: 2018 Type: Article Affiliation country: Malaysia
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computers / Neural Networks, Computer / Ipomoea batatas / Plant Tubers / Desiccation Type of study: Prognostic_studies Language: En Journal: J Sci Food Agric Year: 2018 Type: Article Affiliation country: Malaysia