Design and Fabrication of Arecanut Dehusker Machine
dehusk areca nuts these problems can be overcome We demonstrate a method for automatically identifying illnesses that could affect areca nuts by analyzing photographs of clusters and areca nut images In this research we propose a convolutional image processing model using areca kernel image training Two regions of areca nuts are shown in the
Study on Dissociation and Chemical Structural Characteristics of Areca
Investigation of the Fiber Morphologies of Raw Materials Fiber morphologies of areca nut husk and rice straw after dissociation were observed using a light microscope Areca nut husk and rice straw contained several miscellaneous cells which primarily included finely shredded thin walled cells and serrated epidermal cells of rice straw were also observed Figure 1b