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This survey seeks to give a general overview of the current state of Tea Plant disease prediction for the Blister Blight disease. To construct this system, IoT and machine learning approaches are applied. The goal of the research is to improve sustainable farming methods through early detection and prevention. The climatic conditions of the farmlands are analysed with a set of sensors. Real time input from the IoT setup is processed by the Machine Learning algorithms for detection of the Blister Blight disease.
Gowthami et al. (Thu,) studied this question.