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India's agricultural sector is an essential component of the country's economy. More over half of the population in India relies on agriculture. This is high time that the Country needs to focus on improvisation in the smart agriculture. Machine learning is the wide perspective technique which is massively occupying its role in many of the worldwide areas. Among the different range of Machine Learning applications, smart agriculture has been fascinating every researcher’s work area. By reviewing the crop statistics system in India which pictures the challenges in the qualitative field monitoring system. All these can be enhanced by replacing the smart agriculture system using ML. The learning of the agricultural field includes plant management, crop and yield management, soil management, disease management, weed management, water management, animal tracking etc., Full Farm management can be improved …