Novel approaches for a brix prediction model in Rondo wine grapes using a hyperspectral Camera: Comparison between destructive and Non-destructive sensing methods
Author:
Funder
Hokkaido University
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference11 articles.
1. Predicting the anthocyanin content of wine grapes by NIR hyperspectral imaging;Chen;Food Chem.,2015
2. Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks;Fernandes;Comput. Electron. Agric.,2015
3. Gomes, V. M., Fernandes, A. M., Faia, A., & Melo-Pinto, P. 2014. Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. IEEE Symposium Series on Computational Intelligence - CIES 2014, Proceedings, 188–193. https://doi.org/10.1109/CIES.2014.7011850..
4. Gomes, V. M., Fernandes, A.M., Martins-Lopes, P., Pereira, L., Mendes Faia, A., Melo-Pinto, P. 2017a. Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties. Food Chem.:X. 218,40–46. https://doi.org/10.1016/j.foodchem.2016.09.024.
5. Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging;Gomes;Comput. Electron. Agric.,2017
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