摘要
文章通过百度定制化训练平台Easy DL,提出了一种基于深度学习的菠萝果实识别方法。以漳州市实地调研的菠萝果实图像为训练数据,对菠萝果实识别模型进行了训练。测试结果表明,该模型能够迅速准确地识别出菠萝果实以及果实在图像中的数量和位置,为将来菠萝采摘机器人的研发奠定了基础。
This paper proposes a pineapple fruit recognition method based on deep learning through Baidu customized training platform Easy DL.Based on the training data of pineapple fruit in Zhangzhou City,the pineapple fruit recognition model was trained.The test results showed that the model can quickly and accurately identify the pineapple fruit,and identifyied the number and location of pineapple fruit in the image.It laid the foundation for the future development of pineapple picking robots.
作者
张连兆
徐惠东
李萍
Zhang Lianzhao;Xu Huidong;Li Ping(College of Mechanical and Electronic Engineering,Northwest A&F University,Xianyang 712100,China)
出处
《无线互联科技》
2019年第7期131-132,共2页
Wireless Internet Technology
