Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods
This paper presents an extended comparison study between 16 different linear and non-linear regression methods to predict the sugar, pH, and anthocyanin contents of grapes through hyperspectral imaging (HIS). Despite the numerous studies on this subject that can be found in the literature, they ofte...
Enregistré dans:
Auteurs principaux: | Véronique Gomes, Ricardo Rendall, Marco Seabra Reis, Ana Mendes-Ferreira, Pedro Melo-Pinto |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f270a53ee95945fca13e56d34b961c5b |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Grape Small Auxin Upregulated RNA (<i>SAUR</i>) 041 Is a Candidate Regulator of Berry Size in Grape
par: Ming Li, et autres
Publié: (2021) -
Influential Points in Adaptability and Stability Methods Based on Regression Models in Cotton Genotypes
par: Moysés Nascimento, et autres
Publié: (2021) -
Evaluation of New Grape Hybrids and French Cultivars for Wine Production
par: K Ranjitha, et autres
Publié: (2014) -
Causality inference of linearly correlated variables: The statistical simulation and regression method
par: WenJun Zhang
Publié: (2021) -
A Comparative Study of Linear, Random Forest and AdaBoost Regressions for Modeling Non-Traditional Machining
par: G. Shanmugasundar, et autres
Publié: (2021)