Prediction of Pistachio (Pistacia vera L.) Mass Based on Shape and Size Attributes by Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

Prediction of Pistachio (Pistacia vera L.) Mass Based on Shape and Size Attributes by Using Machine Learning Algorithms

Published:2021-11-04 Issue: Volume: Page:
ISSN:1936-9751
Container-title:Food Analytical Methods
language:en
Short-container-title:Food Anal. Methods

Author:

Saglam Cevdet,Cetin Necati^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Safety Research,Safety, Risk, Reliability and Quality,Applied Microbiology and Biotechnology,Food Science,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s12161-021-02154-6.pdf

Reference67 articles.

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3. Ali J, Khan R, Ahmad N, Maqsood I (2012) Random Forests and decision trees. Int J Comput Sci 9:272–278

4. Altuntas E, Mutlu A (2007) Determination of some physical properties of pistacia (Pistacia vera L.) nut and its kernel (In English). J Agric Fac Gaziosmanpasa Univ 24(1):19–25

5. Ashtiani SHM, Motie JB, Emadi B, Aghkhani MH (2014) Models for predicting the mass of lime fruits by some engineering properties. J Food Sci Technol 51(11):3411–3417

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