A study on image processing for satellite and digital images

The studies of crop forecasting and prediction of plant leaf disease refer to the studies of visually observable patterns of a particular crop and plant. Image processing techniques are used for crop area estimation procedures and crop yield models, based on the application of satellite remote sensing, statistics and other allied disciplines as well as prediction of plant leaf disease based on the digital images. The research intends to take the help of satellite images, digital image, regional plant information, regional disease forecasting, regional crop information, regional crop forecasting, forecasting methods and image processing techniques. This paper presents an overview of how to use satellite and digital imagery for forecasting crop and leaf disease using image processing techniques.