Estimation of Grape Maturity Based on Neural Networks
نویسندگان
چکیده
The Phenolic Maturity of the grape is one of the most important parameters to determine the optimal time for harvest. In this paper an innovative methodology to estimate grape maturity is proposed. In particular, the method is based on pattern recognition techniques to analyze seed images and to classify them into immature, mature, and overmature states by means of a supervised learning neural network. The presented methodology provides objective information about grape maturity, which is useful for deciding the moment when the harvest should be performed. Keywords—Grape Maturity Estimation, Neural Networks, Appearance Descriptors.
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