In this paper, we stand proposing a technique used for categorizing floras by deep learning categorization method. The method suggested here is based on textual properties. The pictures of floras are classified by means of the limit based technique. The information collection covers various pictures off lower of similar profile. The Floral Imagery Database is a mix of pictures and pictures we took from the World Wide Web. ANN was trained to classify five categorize of flowers using fifty trials and attained accurateness which is superior than forty percent using features of gray level co-occurrence matrixonly and accuracy with color moment was 65%. For flower categorization, AI categorization is utilized. Exactness by this categorization framework is 95% utilizing GLCM and Color Moment.
Volume 12 | 07-Special Issue
Pages: 601-604
DOI: 10.5373/JARDCS/V12SP7/20202147