Leveraging AI and Deep Learning for Risk Management in Agricultural Farms: Optimizing Maintenance with Data-Driven Insights

In the face of increasing agricultural challenges such as unpredictable weather, pests, and resource inefficiency, farmers are turning to technology for more reliable solutions. Artificial Intelligence (AI) and Deep Learning (DL) are at the forefront of optimizing risk management and maintenance in agricultural farms. This paper explores the application of AI and DL to analyze data from various sources to optimize resource allocation, predict equipment failure, and manage environmental risks. By leveraging data-driven insights, farmers can enhance operational efficiency, reduce costs, and improve crop yield. The potential benefits of integrating AI with farm management systems, the role of predictive maintenance, and the challenges associated with this transformation are discussed in detail