基于植保大数据的病虫害移动智能识别系统——随识

Sensee:A Mobile Intelligent Pest and Disease Recognition System Based on Agricultural Plant Protection Big Data

应用大数据、人工智能和深度学习技术,研发了一款基于手机移动端的农作物病虫害移动智能识别系统——随识;该系统可安装到智能手机上,通过手机拍照,即可实现农作物病虫害从鉴定识别到防治技术等方面的服务,针对一个病虫害,提供包括鉴定识别、特征描述、分布范围、危害损失、发生规律、防治技术和防控信息等内容,可为广大植保技术人员和使用者开展病虫害防治提供较为全面的帮助.本文在介绍随识病虫害识别系统架构的基础上,简要介绍了系统的下载安装、注册登录、智能识别、圈记、病虫知识库和用户信息等功能模块的使用方法,以期帮助用户更好地使用该系统.

The authors have developed Sensee--a mobile intelligent pest and disease recognition system in mobile terminal,employing big data,artificial intelligence and deep learning techniques.This system can be deployed in Android,Apple and other smartphones,in which crop pest and disease monitoring services,including recognition and prevention,can be achieved through the camera.Furthermore,for any pest or disease in a crop,this system can provide identification,feature description,distribution area,hazard loss,occurrence and prevention technology.We believe that Senseecan provide a comprehensive help for agricultural plant protection technicians to carry out pest control work.Based on an introduction of Sensee pest and recognition system,this paper also gives a guidance to download,installandregister,and describes itsfunctions such as intelligent recognition,circling marking,pests’database and user’s information,so as to help the user make better use of the system.