This study uses an image-processing technique to determine the damage level caused by two-spotted spider mite (Tetranychus urticae Koch) to cucumber plants and changes in the number of mites in a greenhouse. Firstly, a new agricultural platform was developed to ensure camera stability for capturing quality images. The images of 50 leaves infested with T. urticae were captured weekly for 5 weeks with the platform, which resulted in 250 images. Fifty of these captured images were randomly selected and processed with an image-processing algorithm developed using an image processing toolbox module of MATLAB. The results obtained from the image processing algorithm were compared with expert observations. The image-processing method predicted the damage with 3.91 root mean squared error (RMSE). A highly significant positive relationship was found between image processing and expert observations. The results indicate that this new image-processing method may be successfully used in place of expert observation to determine T. urticae damage in greenhouses.

这项研究使用图像处理技术来确定由两点叶螨（Tetranychus urticae Koch）对黄瓜植物造成的危害程度以及温室中螨虫数量的变化。首先，开发了一个新的农业平台，以确保相机稳定性以捕获高质量图像。50片叶子上感染了锥虫的图像该平台每周捕获一次，持续5周，生成250张图像。随机选择其中的50张捕获图像，并使用使用MATLAB图像处理工具箱模块开发的图像处理算法进行处理。从图像处理算法获得的结果与专家观察结果进行了比较。图像处理方法以3.91的均方根误差（RMSE）预测了损伤。在图像处理和专家观察之间发现高度显着的正相关。结果表明，这种新的图像处理方法可以成功地代替专家观察来确定温室中的荨麻疹的危害。