Agriculture has always been a source of income for a larger population in many developing countries including India. Green revolution in India has notably increased the agricultural productivity after 1960. The use of tractors for the framing work was one of the steps toward the modernization of agricultural activities including time-bound delivery of fruits and vegetables to the market. The digital revolution has ushered new directions, and the use of robots and drones in agriculture implies efficiency and optimization in various farm activities, complementary to precision agriculture practices. This chapter presents the applications of Artificial Intelligence-based techniques, robots, and drones to increase agriculture productivity, and use of these technologies to manage the highly controlled environment in aeroponic and hydroponics setup. This chapter investigates the challenges and opportunities in the usage of machine learning to process agriculture images, videos, and sensor data collected during the various stages of crop life cycle. It explores the design of drones, types of drones, and their specific use cases in agriculture activities. Moreover, the discussion is extended on the challenges associated with data processing, privacy preservation, and regulatory compliances. Taken together, Artificial Intelligence tools have become prime technologies for sustainable agriculture.