基于计算机视觉技术的玉米植株高度检测的研究

发布时间：2018-04-15 23:13

本文选题：玉米植株高度 + 长势监测　；参考：《农机化研究》2017年12期

【摘要】：玉米植株高度的检测对于玉米生长期间的营养调控有着非常重要的意义,玉米植株高度也是玉米种植密度的重要参数,更是玉米产量的影响因素之一。大范围地种植玉米,在玉米植株长势的整体控制上就会存在空白区,而引用计算机视觉技术可以全面、快速地检测玉米植株高度,提高检测数据的正确率,减轻测量工作需要的劳动强度和缩短测量时间。为此,基于计算机视觉技术来检测玉米植株高度,利用事先安装在田间的带有红外照明的摄像头采集白天和夜晚的玉米植株图像,通过图像分割、边缘轮廓计算、图像增强等方法处理图像后,测得玉米植株白天和夜晚两个时间段的高度,分析出植株的生长情况,控制其长势。研究结果表明:相较于人眼粗略的判断或是人工采用直尺测量,利用计算机视觉技术来测量玉米植株高度,可以大范围测量,且测量的速度快、测量结果误差小,最大程度地降低了人工的投入。
[Abstract]:The detection of maize plant height is very important for the nutrition regulation during maize growth. The height of maize plant is also an important parameter of maize planting density and one of the influencing factors of maize yield.If corn is planted on a large scale, there will be gaps in the overall control of maize plant growth, and the use of computer vision technology can comprehensively and quickly detect the height of maize plants and improve the accuracy of the detection data.Lighten the labor intensity and shorten the measuring time.Therefore, based on the computer vision technology to detect the height of maize plants, the infrared illumination camera installed in the field is used to capture the images of corn plants during the day and at night, and the images are segmented and the edges are calculated.After processing the image by image enhancement method, the height of maize plant during day and night was measured, and the growth of maize plant was analyzed and its growth was controlled.The results show that compared with the rough judgment of the human eye or the artificial measurement with a straight ruler, using computer vision technology to measure the height of corn plant can be measured in a wide range, and the speed of measurement is fast, and the error of measurement results is small.The labor input is minimized.
【作者单位】：广西工商职业技术学院教务科研处;
【基金】：广西高校科学技术研究项目(KY2015YB454)
【分类号】：S513;TP391.41

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