A context-based perspective on frost analysis in reuse-oriented big data-system developments

The large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different p...

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Detalles Bibliográficos
Autores principales:	Bucella, Agustina, Cechich, Alejandra, Saurin, Federico, Montenegro, Ayelen, Rodriguez, Andrea Betiana, Muñoz, Angel Rafael
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	MDPI 2025
Materias:	Macrodato Desarrollo de Programas Informáticos Procesamiento de Datos Análisis de Datos Helada Agrometeorología Big Data Software Development Data Processing Data Analysis Frost Agrometeorology Reusabilidad Sistemas de Big Data Identificación de Variedades Dominio de la Agrometeorología Reusability Big Data Systems Variety Identification Agrometeorology Domain
Acceso en línea:	http://hdl.handle.net/20.500.12123/23266 https://www.mdpi.com/2078-2489/15/11/661 https://doi.org/10.3390/info15110661

A context-based perspective on frost analysis in reuse-oriented big data-system developments

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