首页|Study Results from University of Antioquia Update Understanding of Machine Learn ing [Machine Learning for the estimation of foliar nitrogen c ontent in pineapple crops using multispectral images and Internet of Things (IoT ) platforms]
Study Results from University of Antioquia Update Understanding of Machine Learn ing [Machine Learning for the estimation of foliar nitrogen c ontent in pineapple crops using multispectral images and Internet of Things (IoT ) platforms]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting from the Unive rsity of Antioquia by NewsRx journalists, research stated, “Nitrogen is themost important nutritional element during the vegetative growth phase of the pineapp le crop; however, itspresence in the soil is insufficient to meet plant demands . In this study, nine machine learning techniqueswere validated to estimate the total nitrogen (TN) content in MD2 pineapple crops from data from multiplesour ces.”
University of AntioquiaCyborgsEmergi ng TechnologiesMachine LearningNitrogen
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