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This research presents a study of a unique technique for identifying stormeye that is based on fuzzy logic and image processing with the help of cloudimages. Fuzzy logic is a term that refers to complicated systems with unclearbehaviour caused by a number of different circumstances. It provides theability to model the dynamic behavior of the storm and determines the locationof the best eye in an area of interest. After that, image processing is appliedto enable accurate eye positioning based on the search results. Theexperimental results are analyzing the storm eye position with approxiamtely$98\%$ accurate compared to the India meteorological department provided besttrack data and Cooperative Institute for Meteorological Satellite Studiesprovided Advances Dvorak Technique data. As a result, the identification ofstorm's eye location using this technique can be found to improvesignificantly. Using the present technique, it is possible to determine the eyeentirely automatically, which replacing the manual method that has beenemployed in the past.

Identification of storm eye from Satellite image data using fuzzy logic with machine learning