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A deep learning model to predict lower temperatures in agriculture

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A deep learning model to predict lower temperatures in agriculture

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Guillén-Navarro, MA.; Martínez-España, R.; Llanes, A.; Bueno-Crespo, A.; Cecilia-Canales, JM. (2020). A deep learning model to predict lower temperatures in agriculture. Journal of Ambient Intelligence and Smart Environments. 12(1):21-34. https://doi.org/10.3233/AIS-200546

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/170274

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Title: A deep learning model to predict lower temperatures in agriculture
Author: Guillén-Navarro, Miguel A. Martínez-España, Raquel Llanes, Antonio Bueno-Crespo, Andrés Cecilia-Canales, José María
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Deep learning techniques provide a novel framework for prediction and classification in decision-making procedures that are widely applied in different fields. Precision agriculture is one of these fields where the ...[+]
Subjects: Deep learning , LSTM , Precision agriculture , IoT
Copyrigths: Reserva de todos los derechos
Source:
Journal of Ambient Intelligence and Smart Environments. (issn: 1876-1364 )
DOI: 10.3233/AIS-200546
Publisher:
IOS Press
Publisher version: https://doi.org/10.3233/AIS-200546
Project ID:
info:eu-repo/grantAgreement/MINECO//TIN2016-78799-P/ES/DESARROLLO HOLISTICO DE APLICACIONES EMERGENTES EN SISTEMAS HETEROGENEOS/
info:eu-repo/grantAgreement/f SéNeCa//20813%2FPI%2F18/
info:eu-repo/grantAgreement/AEI//RTC-2017-6389-5/
info:eu-repo/grantAgreement/AEI//RYC-2018-025580-I/
Thanks:
This work was partially supported by the Fundacion Seneca del Centro de Coordinacion de la Investigacion de la Region de Murcia under Project 20813/PI/18, and by Spanish Ministry of Science, Innovation and Universities ...[+]
Type: Artículo

References

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