Research and Application of Fruit and Vegetable Recognition Based on Deep Learning

Mali Sun, Chengwei Sun, XiaoHui Zhang
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Abstract

Intelligent recognition is applied to fruit and vegetable classification, the main function is to make fruit and vegetable freshness and other information is mastered by the merchant to infer customer preference, which is convenient for personalized recommendation. Therefore, this paper studies the fruit and vegetable intelligent recognition method based on deep learning. The fruit and vegetable image is collected, the fruit and vegetable image is preprocessed, the fruit and vegetable recognition module is established, and the fruit and vegetable classification module is constructed to realize the fruit and vegetable intelligent classification and recognition method. The experimental results show that the design method can identify fruits and vegetables comprehensively and accurately, and has certain application value. The fruit and vegetable intelligent classification recognition method, realize fruit and vegetable classification recognition. The experimental results show that the design method can identify fruits and vegetables comprehensively and accurately, and has certain application value.
基于深度学习的果蔬识别研究与应用
智能识别应用于果蔬分类,主要功能是让商家掌握果蔬新鲜度等信息,推断顾客偏好,方便进行个性化推荐。因此,本文研究了基于深度学习的果蔬智能识别方法。采集果蔬图像,对果蔬图像进行预处理,建立果蔬识别模块,构建果蔬分类模块,实现果蔬智能分类识别方法。实验结果表明,该设计方法能够全面、准确地识别水果和蔬菜,具有一定的应用价值。提出了果蔬智能分类识别方法,实现果蔬分类识别。实验结果表明,该设计方法能够全面、准确地识别水果和蔬菜,具有一定的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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