Artificial Intelligence (AI) is transforming multiple industries, and in recent years, its application in agriculture has proven essential for advancing sustainable and efficient production. In particular, the integration of machine learning, computer vision, and remote sensing technologies has enabled significant improvements in the early detection and management of pests and diseases affecting crops. Corn (Zea mays L.), a crop of global relevance due to its nutritional, industrial, and economic importance, is highly vulnerable to biotic stressors that threaten yield and food security. This chapter explores the application of AI in monitoring corn crops, focusing on disease and pest detection, the use of drones and sensors, and intelligent data processing models. It presents case studies and technologies that illustrate how AI contributes to optimizing phytosanitary strategies, reducing agrochemical use, and supporting decision-making processes in precision agriculture. Despite the technological and socio-economic challenges, the strategic use of AI offers a promising path toward resilient and sustainable maize production systems.