Applicatin For Reducing Overlapping Image In Yield Prediction Field

Precision agriculture always deals with the accuracy and timely information about agriculture products. With the rapid development of computer hardware and software technology design a decision support system that could generate flower yield information and serve as base for management & planning of flower marketing. But there are some problem arises like a color homogeneity by which cannot be find actual color of image and overlapping of image. In this paper discuss on some techniques and operation for overcome this problem like color image segmentation technique, Image segmentation, Using HSV color space and Morphological Operations. A color space model is designed to create, specify and visualize color properties of an image. A color is generally specified using three coordinates, or parameters. These parameters describe the position of the color in the color space used. In this paper used two most popular color space are RGB and HSV. HSV color space decouples brightness from chromatic component in the image by which it provide better result in case for occlusion and overlapping.