No / Internet of Things (IoT)-based smart agriculture
systems are increasingly being used to improve agricultural yield.
IoT devices used for agricultural monitoring are often deployed
in outdoor environments in remote areas. Due to the exposure
to harsh environments and the nature of deployment, sensors
and other devices are susceptible to an increased rate of failure,
which can take a system to unsafe and dangerous states. Failure
of a smart agriculture system can cause significant harm to
nature and people and reduce agricultural production. To address
the concerns associated with the failure of the system, it is
necessary to understand how the failures of the components of
a system can contribute to causing the overall system failure.
This paper adopts Fault Tree Analysis, a widely used framework
for failure behaviour analysis in other safety-critical domains, to
demonstrate the qualitative failure analysis of smart irrigation
systems based on the components’ failure.
Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19765 |
Date | 16 December 2023 |
Creators | Rahman, Md M., Abdulhamid, Alhassan, Kabir, Sohag, Gope, P. |
Publisher | IEEE |
Source Sets | Bradford Scholars |
Language | English |
Detected Language | English |
Type | Conference paper, No full-text in the repository |
Rights | Unspecified |
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