Research Article
Towards a Semantically Enriched Computational Intelligence (SECI) Framework for Smart Farming
396 downloads
@INPROCEEDINGS{10.1007/978-3-319-94180-6_24, author={Aasia Khanum and Atif Alvi and Rashid Mehmood}, title={Towards a Semantically Enriched Computational Intelligence (SECI) Framework for Smart Farming}, proceedings={Smart Societies, Infrastructure, Technologies and Applications. First International Conference, SCITA 2017, Jeddah, Saudi Arabia, November 27--29, 2017, Proceedings}, proceedings_a={SCITA}, year={2018}, month={7}, keywords={Smart farming SECI Intelligent agriculture Knowledge-based agriculture}, doi={10.1007/978-3-319-94180-6_24} }- Aasia Khanum
Atif Alvi
Rashid Mehmood
Year: 2018
Towards a Semantically Enriched Computational Intelligence (SECI) Framework for Smart Farming
SCITA
Springer
DOI: 10.1007/978-3-319-94180-6_24
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.
Copyright © 2017–2025 EAI
