Predicting Starch Content in Early Potato Varieties Using Neural Networks and Regression Models: A Comparative Study

Predicting Starch Content in Early Potato Varieties Using Neural Networks and Regression Models: A Comparative Study

Starch content serves as a crucial indicator of the quality and palatability of potato tubers. It has become a common practice to evaluate the polysaccharide content directly in tubers freshly harvested from the field. This study aims to develop models that can predict starch content prior to the ha...

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Bibliographic Details
Main Authors: Magdalena Piekutowska, Patryk Hara, Katarzyna Pentoś, Tomasz Lenartowicz, Tomasz Wojciechowski, Sebastian Kujawa, Gniewko Niedbała
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
starch content
potato
prediction
artificial neural networks
multiple linear regression
Online Access:https://www.mdpi.com/2073-4395/14/12/3010
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