AN ART OF REVIEW IN PREDICTING THE ROSE PLANT DISEASES USING IMAGE PROCESSING WITH MACHINE LEARNING

Rose Plant Horticulture performs a tremendous position in the field of trading in phrases of the enterprise. An overview of art in predicting rose plant leaf diseases using machine learning was considered in this paper. It also investigated various predictive systems mastering strategies developed by the researcher to identify rose plant diseases. Moreover, the researcher's manipulation of experimental outcomes was reviewed by current device requirements. The accuracy of the present methodologies became measured using a confusion matrix to evaluate the overall performance of the study’s work became explored. In the end, the suggestion to are expecting the effective and green predictive device learning techniques to decide the rose plant using image processing was considered.