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View all- (2018)Predicting nationwide road fatalities in the USInternational Journal of Metaheuristics10.1504/IJMHEUR.2017.0869736:4(257-278)Online publication date: 13-Dec-2018
Grape maturity estimation based on seed images and neural networks
Pages 95 - 104
Abstract
The grape phenolic maturity is one of the most important parameters to determine the optimal time for harvest. In this paper we propose an innovative methodology for the problem of how this task is performed today. In particular, the method consists in analyzing seed images using pattern recognition methodology, and classifying them in immature, mature and over mature states through a supervised learning neural network. The methodology presented gives objective information about maturity, which is useful for deciding the moment when the harvest should be performed.
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- Grape maturity estimation based on seed images and neural networks
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Copyright © Elsevier Ltd © 2014.
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Pergamon Press, Inc.
United States
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Published: 01 October 2014
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View all- (2018)Predicting nationwide road fatalities in the USInternational Journal of Metaheuristics10.1504/IJMHEUR.2017.0869736:4(257-278)Online publication date: 13-Dec-2018