WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 21, 2024
Crop Area Management Based on Fuzzy Analysis of Historical Sensor Readings Combined Within a Unified IoT Platform
Authors: Elchin Aliyev, Ramin Rzayev, Asgar Almasov, Abulfat Rahmanov
Abstract: The network-centric approach to building control systems using wireless technologies has shown its effectiveness in practice. Currently, active research is underway in the field of implementing a network-centric approach to improve the management of business entities. A network-centric control system is a distributed control system in which its main components are integrated into a single information space. The purpose of this research is to develop proposals for building a network-centric model for managing geographically distributed crop areas based on a digital IoT-platform, which represents a universal info-communication environment. The features of network-centric control using fuzzy modeling systems that provide analytical support for decision-making under uncertainty are considered. As an example, it is considered a method of fuzzy modeling and forecasting of segments of averaged sensor readings from web-devices, which can provide information support for predictive and prescriptive analytical solutions. Proposed solutions can be used not only in the field of precision agriculture, but also to build a digital network-centric management platform for any business entity.
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Keywords: Crop area management, network-centric control, IoT platform, sensor readings, fuzzy set, fuzzy time series, forecasting
Pages: 374-384
DOI: 10.37394/23209.2024.21.35
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 21, 2024, Art. #35