AI is a branch of computer science that aims to create intelligent machines that work and react like humans. When machines appear to emulate human performance by learning, coming to their own conclusions, understanding complex content, engaging in dialog with people, enhancing human cognitive performance, or replacing humans in executing both routine and non-routine tasks. There is a need for next green revolution to nourish the rising world population which is growing at very fast pace. With decreasing arable land intensive agriculture is only way to meet the challenge and to answer this question AI can be next vital thing after farm mechanisation and High Yielding Verities. The agricultural industry also faces a variety of challenges such as lack of effective irrigation systems, weeds, issues with plant monitoring due to crop height and changing weather patterns but the emergence of new age technologies like Artificial Intelligence (AI), Cloud Machine Learning, Satellite Imagery and advanced analytics are creating an ecosystem for smart farming that can lead to achievement of Sustainable Development Goal (SDG)-2 i.e., zero hunger by 2030. Use of Drones and satellite imagery along with GPS and GNSS can lead to precision farming saving natural resources, increasing production, preventing Environmental degradation through reduced food wastage and use of optimum level of farm inputs and also increasing farm incomes. Implementation of AI faces challenges like availability of quality data, huge infrastructural costs and low level of Internet penetration specially in developing world which are although huge but not impossible to overcome. To exploit the remarkable scope of AI in agriculture, applications should be more robust. The need of the hour is to improve the infrastructure for AI applications enablement and to harness the potential of this technology which is still in its emerging stage.