Artificial Intelligence and IoT-Based Precision Irrigation for Energy-Efficient Tropical Agriculture
DOI:
https://doi.org/10.59890/ijmbi.v4i3.25Keywords:
Artificial Intelligence, Internet of Things, Precision Irrigation, Energy Efficiency, Smart Agriculture, Tropical Agricultural LandAbstract
The growing need for sustainable agriculture has encouraged the adoption of intelligent irrigation technologies to improve water and energy efficiency in tropical farming systems. This study evaluated the effectiveness of integrating Artificial Intelligence (AI) and Internet of Things (IoT) sensors for precision irrigation optimization. A quantitative experimental design was conducted on 24 horticultural plots under tropical conditions over a 60-day period. IoT sensors monitored soil moisture, temperature, humidity, water flow, and energy consumption, while a machine learning model automatically controlled irrigation scheduling and water volume. Results showed that the AI-IoT system reduced water consumption by 31.4% and energy use by 22.7%, while improving crop productivity by 14.2% compared with conventional irrigation. These findings highlight the potential of AI-based precision irrigation to support sustainable and resource-efficient tropical agriculture.
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