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Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/20617
Type: Article
Title: Detecting abnormal sensors via machine learning: An IoT farming WSN-based architecture case study
Author(s): DE SOUZA, PAULO SILAS SEVERO
RUBIN, FELIPE PFEIFER
HOHEMBERGER, RUMENIGUE
Tiago Coelho Ferreto
LORENZON, ARTHUR FRANCISCO
LUIZELLI, MARCELO CAGGIANI
ROSSI, FÁBIO DINIZ
In: MEASUREMENT
Issue Date: 2020
Volume: 164
First page: 108042
URI: https://hdl.handle.net/10923/20617
DOI: DOI:10.1016/j.measurement.2020.108042
ISSN: 0263-2241
Appears in Collections:Artigo de Periódico

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