FRUIT IMAGE CLASSIFICATION USING DEEP LEARNING ALGORITHM: SYSTEMATIC LITERATURE REVIEW (SLR)

Systematic literature review (SLR) research studies various classification models with deep learning algorithms on fruit digital images. In recent years, computer vision and processing techniques are increasingly useful in the industry, especially for quality color inspection, sizing, shape sorting applications. Research this area demonstrates feasibility of using a machine system to improve product quality. Utilizing field image or processing, Image Processing is used assist humans recognizing and/or classifying objects quickly, precisely, can process large amounts data simultaneously. Classifying through computerized CNN, MASK-RCNN, FASTER-RCNN, SSD models. Developed multilayer perceptron (MLP) layer, algorithm processed into two-dimensional data, capable images larger classes.