Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms-Reference-Cited by-同舟云学术

Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms

Published:2023-11-07 Issue:2 Volume:250 Page:409-423
ISSN:1438-2377
Container-title:European Food Research and Technology
language:en
Short-container-title:Eur Food Res Technol

Author:

Çetin Necati,Ropelewska Ewa,Fidan Sali,Ülkücü Şükrü,Saban Pembe,Günaydın Seda,Ünlükara Ali

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Biochemistry,General Chemistry,Food Science,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00217-023-04392-w.pdf

Reference56 articles.

1. Montesano D, Rocchetti G, Putnik P, Lucini L (2018) Bioactive profile of pumpkin: an overview on terpenoids and their health-promoting properties. Food Sci Curr Opin 22:81–87. https://doi.org/10.1016/j.cofs.2018.02.003

2. FAO (2023) Production/yield quantities of pumpkins, squash and gourds in World + (Total). https://www.fao.org/faostat/en/#data/QCL/visualize. Accessed 24 April 2023

3. Hagos M, Yaya EE, Chandravanshi BS, Redi-Abshiro M (2023) Determination of fatty acids composition by GC-MS and physicochemical parameters of pumpkin (Cucurbita maxima) seed oil cultivated in Ethiopia. Bull Chem Soc Ethiop 37(3):565–577. https://doi.org/10.4314/bcse.v37i3.3

4. Setiawan B, Aulia SS, Sinaga T, Sulaeman A (2021) Nutritional content and characteristics of pumpkin cream soup with tempeh addition as supplementary food for elderly. Int J Food Sci 8:2021. https://doi.org/10.1155/2021/6976357

5. Igbozulike AO, Amamgbo N (2019) Effect of moisture content on physical properties of fluted pumpkin seeds. J Biosyst Eng 44:69–76. https://doi.org/10.1007/s42853-019-00015-z

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