Abstract
This article discusses an adaptation of ViPS (Virtual Physical Space) to build an intelligent infrastructure for smart agriculture. ViPS is a reference architecture aiming to support development of applications where AI enhanced with IoT (Internet of Things) and CPSS (Cyber-Physical-Social System) technologies are first class citizens. The main challenge is the virtualization of “things” from the physical world, as well as related events, time and spatial aspects. In this paper, two modeling approaches are presented that are used to virtualize the physical “things” we are interested in. To present the spatial aspects of things we use an Ambient-Oriented Modeling approach. By adapting of ambient-oriented interpreter, we created an animated simulator for modelling of some scenarios implementing basic services in the space. The second approach uses intelligent agents with an environment presented as artifacts. Both modeling approaches are demonstrated with a realistic example. Currently, a prototype implementation of the smart agriculture space is conducted in the region of Plovdiv.
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Acknowledgements
The research work reported in the paper is partly supported by the Bulgarian National Science Fund of the Ministry of Education under the project BG PLANTNET “Establishment of National Information Network GenBank—Plant genetic resources”, Grant KP-06X36/2.
We acknowledge the provided access to the e-infrastructure of the Centre for Advanced Computing and Data Processing, with the financial support by the Grant No BG05M2OP001-1.001-0003, financed by the Science and Education for Smart Growth Operational Program (2014–2020) and co-financed by the European Union through the European structural and Investment funds.
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Stoyanov, S., Glushkova, T., Popchev, I., Doukovska, L. (2022). Virtualization of Things in a Smart Agriculture Space. In: Sgurev, V., Jotsov, V., Kacprzyk, J. (eds) Advances in Intelligent Systems Research and Innovation. Studies in Systems, Decision and Control, vol 379. Springer, Cham. https://doi.org/10.1007/978-3-030-78124-8_16
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