基于移动终端的稻田飞虱调查方法

【目的】建立一种基于移动终端的稻田飞虱调查方法,以减轻测报人员劳动强度,提高稻田飞虱调查的客观性,实现稻飞虱调查结果可追溯。【方法】利用Android相机、可伸缩手持杆和装载控制相机APP的Android手机研制了稻田飞虱图像采集仪。在Android开发环境下,利用socket通信和视频编码等技术,实现Android相机的视频采集与编码模块、视频传输模块和相机命令控制模块等。利用Android NDK开发和Java web等技术,实现手机端的视频预览模块、手机控制模块、图像上传模块等。相机实时拍摄的视频将压缩成H.264格式,通过RTSP/RTP协议控制其传输至手机端。手机端通过解压缩,实现实时预览相机所拍摄的视频,并控制相机拍摄水稻茎基部飞虱图像,同时将图像传输到手机端。稻飞虱识别算法部署在云服务器上。手机端可选择稻飞虱图像上传至云服务器,云服务器运行稻飞虱自动识别算法,结果返回至手机端。【结果】基于移动终端的稻田飞虱调查方法利用手机可以实时预览相机拍摄的水稻茎基部飞虱画面,控制相机拍照。云服务器上稻飞虱自动识别算法对图像中的飞虱平均检测率为86.9%,虚警率为11.2%;对稻飞虱各虫态平均检测率为81.7%,虚警率为16.6%。【结论】基于移动终端的稻田飞虱调查方法可以便捷地采集到水稻茎基部飞虱图像,实现稻田飞虱不同虫态的识别与计数。该方法可大大减轻测报人员的劳动量,避免稻飞虱田间调查的主观性,实现稻飞虱田间调查的可追溯。

A survey method based on mobile terminal for rice planthoppers in paddy fields

【Aim】 This study aims to design and develop a survey method based on mobile terminal for rice planthoppers in paddy fields, so as to reduce the labor intensity, improve the objectivity of rice planthopper survey in paddy fields and trace the survey results of rice planthoppers. 【Methods】 An image acquisition device for rice planthoppers in paddy fields was developed by an Android camera, a handheld extendable pole and an Android mobile phone loaded with camera APP. In the Android development environment, the video capture and encoding module, the video transport module and the camera controlling module of the Android camera were developed by the socket communication and video coding technologies. The video preview module, the mobile controlling module and the image uploading module on the mobile phone were developed by the Android NDK and Java web technologies. The video in the camera was compressed into H.264 format file in real time, which was transmitted to the mobile phone by the RTSP/RTP protocol. The phone can preview the video captured by the camera by decompression, control the camera to capture the rice planthopper images, and simultaneously transmit the images to the mobile phone. The automatic identification algorithm for rice planthoppers was deployed in the cloud server. The clients can select the rice planthopper images to upload to the cloud server. The identification results would be returned to the mobile phone after running the identification algorithm in the server. 【Results】 By using the survey method based on the mobile terminal for rice planthoppers in paddy fields, the mobile phone can preview the video of rice planthoppers at the base of rice stem captured by the camera in real time and control the camera to take pictures. The automatic identification algorithm for rice planthoppers in the cloud server can identify both the rice planthoppers in the image and their developmental stages, with the average detection rates of 86.9% and 81.7%, and the false alarm rates of 11.2% and 16.6%, respectively. 【Conclusion】 The survey method based on the mobile terminal for rice planthoppers can easily collect the images of rice planthoppers at the base of rice plants, and quickly identify and count the number of rice planthoppers in different developmental stages. This method can not only reduce the labor of forecasting technicians, but also avoid the survey subjectivity of rice planthoppers in paddy fields and realize the traceability of rice planthopper survey.