We present a review of the use of CNN applied to different automatic processing tasks of fruit images: classification, quality control, and detection.

This article presents a review of the use of CNN applied to different automatic processing tasks of fruit images: classification, quality control, ...

We observe that in the last two years (2019–2020), the use of CNN for fruit recognition has greatly increased obtaining excellent results, either by using new ...

The convolutional neural network (CNN) of deep learning will automatically learn the features of different fruit images to establish a model for predicting ...

In Ref. 24 , a fruit recognition algorithm based on convolutional neural networks (CNN) was proposed. Initially, the Selective Search algorithm was employed to ...

In this work we test two of the most common architectures: Faster R-CNN with Inception V2 and Single Shot Multibox Detector (SSD) with MobileNet.

Abstract—Fruit recognition using Deep Convolutional. Neural Network (CNN) is one of the most promising applications in computer vision.

In this paper, deep learning technology is applied to the recognition of common fruits, which improves the recognition rate and can be widely used. Figure 1.

ABSTRACT. Systematic literature review (SLR) research studies various classification models with deep learning algorithms on fruit with digital images.

28 февр. 2023 г. · The convolutional neural network (CNN) of deep learning will automatically learn the features of different fruit images to establish a model for predicting ...