Efficient and Intelligent Decision Support System for Smart Irrigation

The main aim of present analysis is to develop a novel efficient and intelligent irrigation system (EIIS). The proposed irrigation system configured using five components arranged in a series configuration along with the internal cold standby redundancy on sensor unit. The failure and repair rates...

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Bibliographic Details
Main Authors: Monika Saini, Ashish Kumar, Vijay Singh Maan, Deepak Sinwar
Format: Article
Language:English
Published: Nigerian Society of Physical Sciences 2022-11-01
Series:Journal of Nigerian Society of Physical Sciences
Subjects:
Online Access:https://journal.nsps.org.ng/index.php/jnsps/article/view/945
Description
Summary:The main aim of present analysis is to develop a novel efficient and intelligent irrigation system (EIIS). The proposed irrigation system configured using five components arranged in a series configuration along with the internal cold standby redundancy on sensor unit. The failure and repair rates are exponentially distributed. By using the Markovian birth-death process differential difference equations of the model are developed to derive the availability expressions and estimation of parameters. The availability of the system is optimized by employing Grey-Wolf optimization (GWO) and Dragon Fly algorithm (DA) for efficiency and performance evaluation. The derived results are helpful for the system designers.
ISSN:2714-2817
2714-4704