Recent widespread use of Artificial Intelligence (AI) in fields of farm work. Agriculture is using AI technology to breed healthier crops, manage pests and fertilise grow condition; monitor soil and other management activities in the food chain for farmers to analyse data on one side of supply chain. With the help of AI algorithms and IoTcompatible devices, farmers can gain invaluable insights regarding weather, soil health, plant growth, and resource consumption and make well-substantiated data-based decisions for boosting agricultural efficiency. The present paper discusses some AI methods, including machine learning, computer vision, and natural language processing, and their integration with IoT sensors, drones, and other smart devices in agriculture. Further, the paper highlights the limitation of AI-based IoT deployment, e.g., confidentiality of data, security, and infrastructure limitations, and discusses the ways to overcome them. Lastly, the paper mentions future directions, e.g., deployment of AI to facilitate predictive analytics, autonomous agriculture, and precision agriculture, and their revolutionary worth in redefining the face of efficient and sustainable agriculture.