Design and application of an ontology to identify crop areas and improve land use
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-022-00808-5.pdf
Reference68 articles.
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2. Abbes H, Gargouri F (2016) Big data integration: a MongoDB database and modular ontologies based approach. Procedia Comput Sci 96(September):446–455. https://doi.org/10.1016/j.procs.2016.08.099
3. Al-Amin ST, Ordonez C (2022) Incremental and accurate computation of machine learning models with smart data summarization. J Intell Inf Syst. https://doi.org/10.1007/s10844-021-00690-5
4. Alkhammash E (2020) Formal modelling of OWL ontologies-based requirements for the development of safe and secure smart city systems. Soft Comput 24(15):11095–11108. https://doi.org/10.1007/s00500-020-04688-z
5. Alonso S, Sicilia M (2007) Using an AGROVOC-based ontology for the description of learning resources on organic agriculture. Metadata Semant. https://doi.org/10.1007/978-0-387-77745-0_47
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