Pisum sativum classification based on a methodological approach for pattern recognition using discriminant analysis and neural networks

In this work a statistical analysis-based methodological approach for a pattern recognition system using discriminant analysis and neural networks is used for the classification of Pisum sativum (peas) according to the drought resistance. The statistical techniques used in the exploratory analysis are a fundamental tool in the creation of variables sets and observations for the model adjustment in the neural models and in the discriminant models.