摘要
把人工智能中卷积神经网络(CNN),应用到湖羊品种性状测定。建立测定通道,为更精确的获得每只湖羊的身份信息,采用对每个通过高清相机扫描得来的图像进行手动标记,进而湖羊身份信息库被成功建立,再通过卷积神经网络对事先已经建立好的湖羊身份库中的图像进行特征识别研究和湖羊身份精准识別,为湖羊品种性状智能化测定系统建立规范和基础。
The convolutional neural network(CNN)in artificial intelligence was applied to the determination of Hu sheep breed traits.A measurement channel was established.In order to obtain the identity information of each Hu sheep more accurately,each image scanned by a high-definition camera was manually marked,and then the Hu sheep identity information database was successfully established.Then,the convolutional neural network is used to study the feature recognition of the images in the pre-established Hu sheep identity database and the accurate recognition of Hu sheep identity,so as to establish the standard and foundation for the intelligent determination system of Hu sheep breed traits.
作者
沈伟
潘华彪
王笑语
吴攀
王承丽
岳万福
SHEN Wei;PAN Huabiao;WANG Xiaoyu;WU Pan;WANG Chengli;YUE Wanfu(College of Animal Science and Technology,College of Animal Medicine,Zhejiang Agriculture and Forestry University,Hangzhou Zhejiang 311300;Suichang County Agricultural and Rural Bureau,Suichang Zhejiang 323300)
出处
《现代畜牧科技》
2024年第4期10-14,共5页
Modern Animal Husbandry Science & Technology
基金
浙江省遂昌县县校合作项目(2022HZ18)
浙江省农业新品种选育重大科技专项支持(2021C02068-6)。
关键词
人工智能
特征识别
身份认证
湖羊
artificial intelligence
feature recognition
identity authentication
Hu sheep