Title: AI-Driven Predictive Maintenance in Smart Agriculture: A Comprehensive Review
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Title: AI-Driven Predictive Maintenance in Smart Agriculture: A Comprehensive Review
Authors: Arpita A. Prajapati
Abstract: The evolution of agriculture in the 21st century is deeply intertwined with rapid advancements in technology. Artificial Intelligence (AI) has emerged as a transformative force in the agricultural domain revolutionizing traditional practices and promoting precision farming. One of the most impactful applications of AI in smart agriculture is predictive maintenance, a method that enables the anticipation and prevention of equipment failures. This paper offers a comprehensive review of AI-driven techniques for predictive maintenance in smart agriculture covering historical evolution, technical methodologies, applications, advantages, challenges and future research directions. The goal is to provide researchers, practitioners and policymakers with a detailed understanding of how AI can enhance operational efficiency, reduce downtime and contribute to sustainable agricultural practices.
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