Towards a semantic structure for classifying IoT agriculture sensor datasets : An approach based on machine learning and web semantic technologies

With the increase in the number of IoT farming datasets, it has become so difficult to identify the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to well understand, interpret and index IoT farming datasets. This paper proposes a new IoT farming ontology th...

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Bibliographic Details
Main Authors: Djakhdjakha Lynda, Farou Brahim, Seridi Hamid, Cissé Hamadoun
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823002549