Abstract
This paper advocates the use of Semantically Enriched Computational Intelligence (SECI) for managing the complex tasks of smart farming. Specifically, it proposes ontology-based Fuzzy Logic for dealing with inherent imprecisions and vagueness in the domain of smart farming. The paper highlights various characteristics of SECI that make it a suitable computational technique for smart farming. It also discusses a few aspects out of the huge number of possible applications in smart farming that we are planning to implement with the help of SECI. Further, it shares in detail the implementation and some preliminary results obtained by applying SECI to one specific aspect of smart farming.
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Acknowledgments
The work presented in this paper is supported by High Performance Computing (HPC) Center at the King Abdul Aziz University Jeddah (Saudi Arabia). We acknowledge all sources of internet images of various diseases used in this study.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Khanum, A., Alvi, A., Mehmood, R. (2018). Towards a Semantically Enriched Computational Intelligence (SECI) Framework for Smart Farming. In: Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds) Smart Societies, Infrastructure, Technologies and Applications. SCITA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-94180-6_24
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DOI: https://doi.org/10.1007/978-3-319-94180-6_24
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