摘要
人工智能的迅速发展给我们的生活带来了翻天覆地的变化,尤其是以图像识别为主的一系列应用,实实在在地改变着我们的生活。基于机器学习的各种图像识别算法框架也在各式各样的无人化实践场景中,起到了决定性的作用。本文利用R语言这一编程语言和TensorFlow学习框架,通过对本地采集好的数据集进行训练,设计出一个果蔬识别系统,能够进行准确的果蔬识别。
The rapid development of artificial intelligence has brought overwhelming changes to our lives,especially a series of applications based on image recognition,which have really changed our lives.Various image recognition algorithm frameworks based on machine learning have played a decisive role in a variety of unmanned practice scenarios.In this paper,a fruit and vegetable recognition system is designed using R,a programming language,and the TensorFlow learning framework,training on locally collected data set and perform accurate fruit and vegetable recognition.
作者
陈恩展
Chen En-zhan(School of Mathematics and Statistics,Guangxi Normal University,Guilin 541000,Guangxi Zhuang Autonomous Region,China)
出处
《科学与信息化》
2022年第23期16-18,共3页
Technology and Information
