基于Spring Boot的蒿草智能识别小程序的研究与实现
Research and implementation of wormwood intelligent recognition applet based on Spring Boot
赵文欣 1苏峰2
作者信息
- 1. 内蒙古电子信息职业技术学院计算机与网络安全学院,呼和浩特 010010
- 2. 内蒙古自治区气象服务中心,呼和浩特 010051
- 折叠
摘要
蒿草智能识别小程序是基于大数据分析与智能图像识别技术的融合应用,贯穿蒿草智能识别、用户信息上报、数据可视化、知识科普、在线社区和防治鼻炎资讯推送六大功能为一体的蒿属植物识别小程序,同时开发蒿属植物时空分布情况的大数据可视化平台,从而帮助政府及有关部门,更好地进行蒿草治理,解决生态民生问题,并且可以帮助深受蒿草困扰的过敏患者在蒿草分布扩散的密集期提前做好预防.
Abstract
Wormwood intelligent recognition applet is based on the fusion application of big data analysis and intelligent image recognition technology.It integrates six functions of wormwood intelligent recognition,user information reporting,data visual-ization,knowledge popularization,online community and rhinitis prevention and control information pushing.At the same time,it develops a big data visualization platform for the spatiotemporal distribution of wormwood plants.Thus,it can help the government and relevant departments to better manage wormwood,solve ecological and livelihood problems,and help allergy patients who are troubled by wormwood to prevent in advance the intensive period of wormwood distribution and diffusion.
关键词
图像识别/蒿草智能识别/数据可视化/鼻炎防治Key words
image recognition/wormwood intelligent recognition/data visualization/rhinitis prevention and treatment引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据