Predictive Maintenance of Agricultural Equipment Using AI: Enhancing Sustainable Farming Practices
Abstract
Agriculture faces increasing pressure to produce more with fewer resources, demanding improved operational efficiency and sustainability. This study examines the application of AI-powered predictive maintenance for agricultural machinery, aimed at reducing downtime, maintenance costs, and environmental impact. By analyzing machine usage patterns and sensor data, our predictive maintenance model helps farmers optimize machinery performance, leading to reduced fuel consumption and lower emissions. This approach represents a significant step towards sustainable agricultural practices by decreasing resource waste and maximizing equipment lifespan.
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