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Q1 2025

AI in E-Learning: Exploring Challenges and LimitationsA Literature Review

Ryad Ali Gbr · Nabil Mohammed Ali Munassar
10.20428/jst.v30i10.3160 389 Views 2 Citations
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389
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Abstract

This study addresses the critical challenge of water scarcity and high energy costs impacting agricultural productivity in regions like Abia State, Nigeria, by proposing a sustainable solar photovoltaic (SPV) irrigation pumping system. The objective was to design and evaluate an SPV system for underground irrigation at the National Root Crops Research Institute (NRCRI), Umudike, and ensure a reliable water supply for its 5-hectare farmland. The methodology involved determining pump energy demand (36.3 kWh/day), applying three distinct SPV component sizing methods for cross-validation, and performing robust stochastic reliability and temperature-adjusted performance analysis using Monte Carlo simulation. Key results indicate that a system with 36 solar panels, 24 batteries, and a 6.0 kVA inverter can consistently meet the daily energy demand. The stochastic analysis demonstrated that while monthly solar deficits can be high in certain periods (e.g., 99.9% in August), even minimal (e.g., 1 day) battery autonomy drastically reduces the probability of energy shortfall. This research provides a practical and resilient framework for off-grid agricultural irrigation in sun-rich developing regions.

Cite this Article (APA)
Ryad, A. G., Nabil, M. A. M. (2025). AI in E-Learning: Exploring Challenges and LimitationsA Literature Review. Journal of Science and Technology. https://doi.org/10.20428/jst.v30i10.3160
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Published in
ISSN 1607-2073
Quartile Q1
AMS Score 100
Field Natural Sciences
Publisher University of Science and Technolog
Country 🇾🇪 Yemen
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Authors
Publication Details
Year 2025
Language English/Arabic
Added 13 Aug 2026