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Automated early detection of drops in commercial egg production using neural networks
ArticleAbstract: 1. The purpose of this work was to support decision-making in poultry farms by performing automaticPalabras claves:Farming systems, Laying hens, Machine learning, modelling, production dropsAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Rivero D., Sierra A.P.Fuentes:googlescopusEarly warning in egg production curves from commercial hens: A SVM approach
ArticleAbstract: Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwrittPalabras claves:Drop in egg production, Early warning, Machine learning, Poultry management, SUPPORT VECTOR MACHINESAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Rivero D., Sierra A.P.Fuentes:googlescopusDetermination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques
ArticleAbstract: Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage timPalabras claves:Chemometrics, Freshness, Neural networks, Non-destructive, poultryAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Julian Coronel-Reyes, Rivero D., Sierra A.P.Fuentes:googlescopusOptimization of NIR calibration models for multiple processes in the sugar industry
ArticleAbstract: The measurements of Near-Infrared (NIR) Spectroscopy, combined with data analysis techniques, are wiPalabras claves:Agro-industry, Calibration models, Chemometrics, Machine learning, NIR, SUPPORT VECTOR MACHINESAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Rivero D., Sierra A.P.Fuentes:googlescopus