Özet:

Agriculture is still the major occupation in countries like India. It being major source of income in several states, continues to contribute for the economic growth of India. Despite the hard work and the efforts put up by the farmers, it is observed that certain issues such as unpredictable climatic conditions, lack of fertile soil, rainfall and pests disrupt the crop productivity. Technologies like Machine Learning and Internet of Things have paved way for a smart farming through Precision Agriculture that not only promises a better yield but also helps farmers monitor the crops, assists in decision making and automate several processes in agriculture. This paper focuses and attempts to check the soil fertility and foresee the rainfall and predicts the ideal environmental characteristics for the cultivation of cereals like rice. This assures higher yield.

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