RISK MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE

In recent years, the agricultural industry has experienced significant advancements through the integration of artificial intelligence (AI). The utilization of artificial neural networks and deep learning algorithms, in conjunction with Internet of Things devices and data analysis methodologies, holds significant potential for revolutionizing risk management approaches and practices in the field of agriculture. As a result, there has been a significant rise in scientific inquiries and published literature exploring the intersection of risk management and artificial intelligence in the agriculture sector. This academic paper examines the potential of AI in the field of risk management in the agriculture industry, as well as its implications for improving productivity, profitability, and sustainability. The utilization of AI technologies has led to significant progress in the domains of precision agriculture, resource management, and decision-making protocols. The findings of this study suggest that the incorporation of AI into risk management strategies in the agricultural industry holds promise for improving resilience and adaptability. Nevertheless, the application of AI holds the potential to improve agricultural practices, hence increasing output and promoting the development of sustainable and efficient food production systems. This article provides a comprehensive overview of the potential applications AI in risk management within the agriculture industry and examines the implications it holds for the future of the sector.