Precision Agriculture – Smart Farming For Best Yield Through Machine Learning And Iot

Abstract

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.