基于计算机视觉技术的玉米叶绿素含量检测研究

发布时间：2018-11-04 15:15

【摘要】：植株叶片中叶绿素浓度的高低与植株进行的光合作用效率、植株的整体生长状况息息相关,在农业生产过程中,常常根据叶片中叶绿素含量(SPAD)的多少来精确的判断植物的生长状态,也是控制植株长势的依据。传统的叶绿素含量检测方式分光光度法,存在耗时长、步骤多、操作要求高等问题,而采用计算机视觉技术处理图像的过程更加准确、高效,不会像人眼分析时受到主观因素的影响导致偏差。为此,基于计算机视觉技术来检测玉米叶片中叶绿素含量,利用扫描仪采集玉米叶片的图像,将图像输送至计算机,然后通过软件处理图像,分割出图像中有效像素的颜色特征值,将特征值转换就可以得到玉米叶片中叶绿素。试验结果显示:利用计算机视觉技术可以准确地测定玉米叶片中叶绿素含量,进而进行合理施肥,避免浪费,对增加玉米的产量具有极大的价值。
[Abstract]:The chlorophyll concentration in the leaves is closely related to the photosynthesis efficiency and the overall growth of the plant. It is often used to accurately judge the growth state of plants according to the amount of chlorophyll (SPAD) in leaves, which is also the basis for controlling plant growth. The traditional method of measuring chlorophyll content by spectrophotometry has many problems, such as long time consuming, many steps and high operation requirements, but the process of image processing using computer vision technology is more accurate and efficient. It will not be influenced by subjective factors in the analysis of human eyes. Therefore, based on the computer vision technology to detect the chlorophyll content in maize leaves, the scanner is used to collect the images of maize leaves, the images are transferred to the computer, and then the images are processed by software. The color eigenvalues of the effective pixels in the image are segmented and the chlorophyll in maize leaves can be obtained by converting the eigenvalues. The results showed that the content of chlorophyll in maize leaves could be accurately determined by computer vision technology, and then fertilization could be carried out reasonably to avoid waste, and it was of great value to increase the yield of maize.
【作者单位】：鹤壁汽车工程职业学院;鹤壁职业技术学院;
【基金】：河南省教育厅自然科学研究计划项目(2011C520018) 河南省高等教育重点研究基金项目(13B520108)
【分类号】：S513;TP391.41

【相似文献】