A Survey of Image Segmentation of Color Flower Yield Prediction Precision

Abstract

Segmentation is a process in which precision of object is recognized. Many images are solved by the segmentation only. In field of agriculture, precision become the root of finding accurate yield and to establish the resultant product in agricultural production. Flowers are extracted from the image segmentation technique using Threshold. In this survey, The Flower yield is estimated while accuracy and timely information improvement is done by using prediction precision to increase in the field. The precision prediction is done by color feature as color is the basic fundamental physical property of flower. The various technique and computer vision are presented for flower yield prediction. This paper summarized the main feature and drawback.