Cactaceae Detection Using MobileNet Architecture

Abstract

Convolutional Neural Networks and image processing work well together. Image processing nowadays is a big topic in the world of technology because of its wide applications. The CNN algorithm has a lot of advantages dealing with image processing like efficiency and accuracy. Using CNN and MobileNet Architecture for this research, the output will be relative and effective and can be used for future studies. CNN uses layers, such as a convolutional, pooling, activation, and fully connected that filter the images for more accurate outputs. This research will produce an output in identifying a plant to further discuss the process and methods of using CNN and MobileNet Architecture in image processing.