AI-Driven Microgrid Solutions for Enhancing Irrigation Efficiency in Rural Farming

Ashok Kumar Chowdhury¹*, Md. Sakib Mahdi Aziz²

AI-driven microgrid irrigation enhances water and energy efficiency, boosts crop yields, and supports sustainable farming in rural communities.

Abstract

The fresh water we draw off from lakes and rivers goes to farm fields about 70%, and antiquated flooding techniques waste tons of that lifeblood while consuming through electricity. In many remote villages control is intermittent, so farmers are often left cycling on loud, diesel generators that subsidize the air and extract money from their wallets. A new type of off-grid, AI-driven technology now weans together small solar panels or small wind turbines with smart controllers that adjust water resources to real demand. Pulling composed real-time delivers from soil probes, forecasts, well spectacles, old moisture logs, crop models, and machine-learning nudges, the system chooses on the advertisement when to exposed the valves, how many loads to send, and how much control the motors should attraction. In trials that trim lachrymation by 20-40 % chop vigor costs by unevenly forty percent, and lift produces by fifteen to thirty percent, farmers devote less and take homebased more. Swapping diesel rigs for these tiny microgrids also trims on-farm greenhouse gases by roughly 35% percent, giving each grower a real stake in the climate fight. This review pulls together what we know about the technology itself, its social and economic effects, the hurdles it faces, and the paths forward for AI-powered microgrid irrigation. By using water and power more wisely, these tools could reshape farming, uplift rural communities, and bolster global food security and environmental health where every drop and watt counts.

Keywords: AI-driven microgrid, irrigation efficiency, rural farming, precision irrigation, renewable energy

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