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A smart irrigation system is a combination for hardware and software applications with various technologies. It has a data analysis method with a variety of techniques and models to read data directly. Information technology plays an important role. An application for machine learning helps to maintain a proper irrigation system. For example, measuring hand-held interventions, increasing water use and providing water and fertility in the field improves crop production. It helps farmers to adapt to the right system according to their needs. Machine learning prediction algorithm is added for predicting the temperature and humidity in the environment.