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The Development of an Alerting System for Spread of Brown planthoppers in Paddy Fields Using Unmanned Aerial Vehicle and Image Processing Technique

机译:利用无人机和图像处理技术开发稻飞虱在稻田中的预警系统

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This research aimed to analyze and design an alerting system for spread of Brown planthoppers in paddy using unmanned aerial vehicle and image processing technique. The research included reviewing and collecting data, designing unmanned aerial vehicle control system, testing flying system, designing color detection and comparing efficiency. To design color detection, image processing technique was employed. The research procedures consisted of receiving data, using 10 fps of an image of 640×480 pixel in a form of RGB and converting an image to HSV to adjust color values. The image was delivered to an inspection of images detected using Threshold. It could be summarized that the system could detect rice pests. Of the 50 tests, it was found that the difference of brown color was at 1.40%, of white color was at 0.73 % and of yellow color was at 0.00% in the paddy fields with rice pests. In addition, the error of brown color was at 0.01%, of white color was at 0.05% and of yellow color was at 0.00% in the paddy fields without rice pests.
机译:本研究旨在利用无人飞行器和图像处理技术,分析和设计一种褐飞虱在稻田中传播的预警系统。研究内容包括审查和收集数据,设计无人机控制系统,测试飞行系统,设计颜色检测和比较效率。为了设计色彩检测,采用了图像处理技术。研究程序包括接收数据,使用RGB形式的640×480像素的图像的10 fps和将图像转换为HSV以调整颜色值。图像已传送到使用“阈值”检测到的图像检查中。可以总结为该系统可以检测水稻害虫。在50个试验中,发现稻田害虫的稻田中,棕色的差异为1.40%,白色的差异为0.73%,黄色的差异为0.00%。此外,在没有水稻害虫的稻田中,棕色的误差为0.01%,白色的误差为0.05%,黄色的误差为0.00%。

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