摘要
为了实现储粮害虫图鉴信息的便捷获取和害虫图像的自动识别,研发了一款储粮害虫智能图鉴及图像识别APP软件。该APP软件基于Android系统开发,采用Solr全文搜索引擎和深度学习图像识别技术,实现了146种常见储粮害虫信息的电子化展示和智能检索,以及6类10种常见储粮害虫的在线识别。此APP软件可以成为储粮保管人员的学习助手。
An mobile App based on Android system was developed to realize convenient acquisition of stored grain insect information and automatic recognition of stored grain insects on the mobile phone. By using Solr full-text search engine, the 146 common stored grain insect’s information can be clearly showed and easily retrieved. And deep learning image recognition technology was used to implement online recognition of 10 kinds of stored grain insects in 6 categories. This App could be a useful assistant for grain storage personnel to store grain.
作者
赵彬宇
周慧玲
李江涛
严晓平
韩康榕
Zhao Binyu;Zhou Huiling;Li Jiangtao;Yan Xiaoping;Han Kangrong(Beijing University of Posts and Telecommunications,100876;Sinograin Chengdu Storage Research Institute Co.Ltd.,610091)
出处
《粮食储藏》
2019年第3期42-46,共5页
Grain Storage
基金
2015年公益性行业科研专项“我国储粮虫螨区系调查与虫情监测预报技术研究”(201513002-2)
