A Survey on Rainfall Forecasting using Image Processing Technique

Rainfall forecasting is important for Agriculture and living things. Agriculture plays an important role in Indian financial system. Agriculture is backbone of our country. Almost 70 percent population is dependent on agriculture. Many industries dependents on agricultural products like sugar industries, Paper industries, tobacco industries etc. Some of the agricultural products like some fruits, vegetables and flowers are exported. Agriculture supports railways and roadways transport. Rainfall is the primary source of water. Human depends on water in daily needs as well as drinking. Water is mainly used in planting trees which are used to bringing natural rainfall. Some agricultural products like rice and corn grown in rainy climate only. Agriculture products are dependents on water so irrigation system is used to provide natural flow of water. Irrigation system is also dependent on rainwater harvesting. Water is essential for the chemical and physiological process in the growth of plant. To find the accurate forecasting, we must know cloud status and sky status. To find the status of cloud, sky and rain required some image processing technique. Image processing is used to enhance images which are taken by Digital camera. It can forecast the behavior of cloud and sky. Image processing has been successfully used by many researchers during last two to four decades. This paper provides a survey of available literature of some methodologies developed by different researchers to forecasting rain by using Image Processing. This survey also reports most suitable technique to forecast rainfall by using Image processing rather traditional statistical and numerical methods.