Parametric analysis and soft-computing prediction of sweet potatoes (Ipomoea batatas L) starch drying using machine learning techniques-Reference-Cited by-同舟云学术

Parametric analysis and soft-computing prediction of sweet potatoes (Ipomoea batatas L) starch drying using machine learning techniques

Published:2020-08-26 Issue:9 Volume:2 Page:
ISSN:2523-3963
Container-title:SN Applied Sciences
language:en
Short-container-title:SN Appl. Sci.

Author:

Oke E. O.^ORCID,Okolo B. I.,Adeyi O.,Osuolale F. N.,Nnaji P. C.,Ude C.,Ayanyemi J.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42452-020-03378-7.pdf

Reference51 articles.

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2. Adjei FK (2017) Comparative evaluation of the physicochemical and disintegrant properties of starch from five improved varieties of cassava in paracetamol tablet formulations. Dissertation, Knust University

3. Pilla S (2011) Starch based composites for packaging applications. Handbook of bioplastics and biocomposites engineering applications. John Wiley & Sons, New Jersey, p 189

4. Koostanto H, Zakky M, Soebandino S (2016) Addressing the economic and healts challenges facing smallholder communities through roots and tubers in Maluku and Maluku Utara, Indonesia-results of a scoping study

5. Nwokocha LM, Aviara NA, Senan C, Williams PA (2014) A comparative study of properties of starches from Irish potato (Solanum tuberosum) and sweet potato (Ipomea batatas) grown in Nigeria. Starch-Stärke 66(7):714–723

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