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A method to estimate grape phenolic maturity based on seed images
(2014)
The timing of the grape harvest has a strong impact on wine quality. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a method is presented to ...
Grape maturity estimation based on seed images and neural networks
(2014)
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 ...
Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
(2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...