文章基本信息

标题：Fruit Grading Using Convolutional Neural Networ
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作者：G.RAGHUL ; M.A.E.NIHARIKA ; D.POOJITHA 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2021
卷号：9
期号：7
页码：8019-8023
DOI：10.15680/IJIRCCE.2021.0907029
语种：English
出版社：S&S Publications
摘要：Due to the wide variety of fruit types, it is generally very difficult to recognise the image of fruit products. The aim of this paper is to detect whether the fruit is healthy or not. In the processing of images, we applied CNN to tasks for fruit detection and recognition. We have developed and used Google to evaluate recognition performance a dataset of the most frequent items.. The train data and trial data are classified and results of the classified output are given. However, in recent times, deep learning has proven to be a powerful technique for recognising images and is a highly modern approach to deep study. This network has gained more precision than existing methods.
关键词：CNN (Convolutional Neural Networks);Deep learning;Dataset