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British Poultry Science(1)
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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:googlescopusDetection of bovine mastitis in raw milk, using a low-cost nir spectrometer and k-nn algorithm
ArticleAbstract: Among the bovine diseases, mastitis causes high economic losses in the dairy production system. NowaPalabras claves:CALIFORNIA MASTITIS TEST, Dairy, Health monitoring, Machine learning, Near infrared reflected spectraAutores:Fernández-Blanco E., Ivan Ramirez-Morales, Jhonny E. Pérez, Lenin Aguilar, Rivero D., Sierra A.P.Fuentes:scopusEarly 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: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