Agriculture is one of the fastest and improving AI driven sectors in the late 20’s. These developments in the sector have helped with a good yield. The latest technologies in the Satellites, Sensors, Drones and more techs are available anywhere around us. These upgrades have brought a great impact in the agriculture sector. A huge volume of data is collected and processed for decision making. The aim of this paper is to give an understanding about the fusion of Artificial Intelligence and smart farming to attain sustainable agriculture. Constant Monitoring of the plant’s health like disease detection, watering, nutrients deficiencies etc. by analyzing the plant images. Plant health is an important factor so we propose a technique to understand about the plants from the visual with the help of convolutional networks. After collecting the data from drones, satellites and weather stations, farmers can get a good understanding about the crop’s health, environment and the needs. Early detection of diseases or nutrients deficiency through analyzing the data can help to reduce the use of chemicals and focus more on healthier crops. In general, fusion of AI and computer vision have the potential to revolutionize agriculture but there are challenges too but can be solved through constant developments and practices.