A Dynamic Approach In The Application Of Color Preservation For The Flower Yield Prediction

Abstract In the area of agricultural field the accurate forecasting of the yield and their estimation from the raw data are playing the important role in the planning of various aspects of agricultural production. In this paper an attempt has been made to estimate flower yield which helps in providing the knowledge so that it creates the base for flower marketing and its management. The main aim of this paper is to build a system which works dynamically for predicting the different colors of flowers from the field. This flower yield prediction system based on the color features which must be preserved is presented to estimate the number of flower of different colors. Through the image processing technique which uses the MATLAB tool we have achieved flower yield prediction for constructing this automating system which uses the dynamic approach. Therefore the result of the system shows the best potential of the approach which beat the human inspection.