Artificial intelligence (AI) has emerged as a promising technology in digital agriculture. The application of Artificial Intelligence (AI) has been evident in the agricultural sector in many ways. To maximize yield, the industry faces various obstacles, including poor soil treatment, disease and pest infestation, enormous data requirements, low output, and a knowledge gap between farmers and technology. To overcome this problems, AI The flexibility, high performance, accuracy, and cost-effectiveness of AI in agriculture are the main concepts. This chapter provides an overview of the applications of artificial intelligence (AI) in soil management, crop management, weed management, and disease management. A significant emphasis is placed on the application's strengths and limitations, as well as the method for leveraging expert systems for increased productivity. Artificial intelligence (AI) has emerged as a promising technology using digital technologies for collecting, storing, and further analyzing the electronic agricultural data for better reasoning and decision-making using AI techniques. There are computer vision and machine learning techniques to detect diseases and deficiencies in plants, recognizing weeds that helps in spraying only those parts of land where the plants are disease-infected or where weeds are present instead of the whole field. Utilization of AI in agriculture is helping in developing agricultural methods capable of increasing crop yield and reducing the previously stated challenges.