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Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming

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Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming

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Rodríguez-Sánchez, MDLÁ.; Cuenca, L.; Ortiz Bas, Á. (2019). Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming. IFIP Advances in Information and Communication Technology. 568:467-474. https://doi.org/10.1007/978-3-030-28464-0_40

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/157502

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Título: Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
Autor: Rodríguez-Sánchez, María De Los Ángeles Cuenca, L. Ortiz Bas, Ángel
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] Big data is a concept that has changed the way to analyse data and information in different environments such as industry and recently, in agriculture. It is used to describe a large volume of data (structured or ...[+]
Palabras clave: Big data , Smart farming , Precision agriculture
Derechos de uso: Reserva de todos los derechos
Fuente:
IFIP Advances in Information and Communication Technology. (issn: 1868-4238 )
DOI: 10.1007/978-3-030-28464-0_40
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/978-3-030-28464-0_40
Título del congreso: 20th IFIP Working Conference on Virtual Enterprises (PRO-VE 2019)
Lugar del congreso: Turin, Italy
Fecha congreso: Septiembre 23-25,2019
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/691249/EU/Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems/
info:eu-repo/grantAgreement/UPV//PAID-01-18/
info:eu-repo/grantAgreement/GVA//GV%2F2017%2F025/
Agradecimientos:
All authors acknowledge the partial support of Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the ...[+]
Tipo: Artículo Comunicación en congreso Capítulo de libro

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