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Agriculture automation is the main concern and emerging subject for every country. Where many types of research have been carried out like the implementation of fuzzy logic and Neuro-Fuzzy logic,automation using Expert systems and Artificial intelligence which led to great benefits.First and foremost, this paper broaches the subject of Artificial intelligence, machine learning, and embedded system. It further discusses the blending of AI and embedded technology in the agriculture sector. There are still some areas of problems which are causing the problems to agriculture field like Crop diseases infestations, lack of storage management, pesticide control, weed management, lack of irrigation and water management. In the Country like India where the water is one of the major problems for the people in agriculture sectors,and the government is trying to provide more and more support to implement automation in irrigation and agriculture. As the review suggests, The automation can be achieved along with smart embedded system by using the Arduino and Raspberry pi3 with the temperature and moisture sensor by deploying the machine learning algorithms and developing essential IoT(Internet of Things). As the world is more turning toward the online storage resources cloud computing is the major choice for data storage and management derived from the sensors and easily accessible from the user"sdevices. The automaton in agriculture with the implementation of the embedded system is also a pivotal topic for the crop prediction, evapotranspiration process. Evapotranspiration process is imperative for maintaining the stability in the hydrologic cycle, sustainable irrigation method, and water management. The paper discusses penetration of AI and embedded systems in agriculture sector via discussing past breakthroughs. The problem of water usage among the farmers leads to the smart irrigation system which will also result in the efficient use of water resources. The irrigation system proposed is fully automated and easily accessible method which will be beneficial to the agriculture automation to future scope.

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