The integration of 5G technology into smart and sustainable
agriculture has the potential to revolutionise agricultural productivity and
enhance food security in the Ibaji Local Government Area (LGA) of Kogi State,
Nigeria. Food insecurity and malnutrition continue in the region because of
outdated farming methods. These make food production susceptible to
unpredictable rainfall, limited access to modern agricultural technologies, and
unprofitable yields. Although 5G-enabled precision agriculture has been widely
explored, only a few studies integrate 5G deployment with structured security
threat analysis frameworks, such as STRIDE, particularly in smallholder farming
contexts. This study assessed the potential of 5G-enabled Internet of Things
(IoT) technologies for real-time tracking and automated control of resource
(input) optimisation to improve farm resource (input) management and
profitability. Using a mixed-method approach that included agricultural field
surveys of local farmers and simulations of 5G sensors as agricultural
technology for the Ibaji region in Kogi State, Nigeria, the Ibaji precision
agriculture system was designed. The study analyses two primary use cases:
Sensor-Based Monitoring and Automated Resource Management. For Field Surveys,
50 local farmers were surveyed to understand the primary agricultural problems
and to assist in the validation of sensor placement. Additionally, a
simulation-based system design was developed using Python to model 5G-connected
sensors and actuators for real-time monitoring of soil moisture, nutrients, and
pH levels. Results revealed that 5G technology for resource control and farm
practice optimisation led to improved agricultural yields by 20% and resource
management by 15%, demonstrating the potential of modern technology to
alleviate food security challenges and resource poverty in the region. This
study concludes that a basic 5G-enabled sensing and actuation stack, secured
with minimal but critical controls, can improve yields and reduce input use in
a resource-constrained smallholder setting such as Ibaji.
Author(s) Details
Felix Ayegba Sani
Computer Science Department, The Federal Polytehnic, Idah, Kogi State,
Nigeria.
Ugbedeojo Musa
Computer Science Department, The Federal Polytehnic, Idah, Kogi State,
Nigeria.
Please see the book here :- https://doi.org/10.9734/bpi/nhstc/v7/6963
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