利用形态图像处理技术对水培植物柏菜进行高效检测

Yusuf Ramatullah, Budhi Irawan, C. Setianingsih
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引用次数: 0

摘要

水培法是一种利用水而不使用土壤,强调植物营养的栽培技术。但是在监测植物高度的时候,那些想要种植水培的人或者在家里做水培的人仍然不知道确切的情况,所以有些植物的高度没有得到很好的监测。这些问题产生了一个想法,那就是为植物生长和发育创建一个检测系统,以更准确地检测高度。图像处理是数字图像处理的一个分支。计算机视觉技术的飞速发展使得图像处理不仅可以单独改善图像,还可以检测或跟踪物体,读取条形码等。图像处理的三个阶段是:从图像中获取图像、预处理和识别。本系统采用的方法是形态学图像处理方法。该参数用于计算白菜水培植物的高度。在光强为15.7 lux的条件下,系统的精度为93.81%。在白菜植株生长的6周内,第3周测定精度最高,为97.24%,平均光强为13.65勒克斯。在15勒克斯光强下,第2周的准确度最差,平均准确度为86.25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Detection of Hydroponic Plant Pak Choy Using Morphological Image Processing
Hydroponics is a cultivation technique that uses water without using soil by emphasizing nutrients for plants. But in monitoring the height of the plant, people who want to plant hydroponics or who are doing it at home still estimate without knowing exactly, so there are plants whose height is not well monitored. These problems created an idea to create a detection system for plant growth and development to detect height more accurately. Image Processing is a branch of knowledge about image processing processed digitally. The development of technology is speedy in computer vision that makes image processing not only to improve the image alone but also to detect or track an object, read barcodes, and others. The stages of image processing are acquiring images from images, preprocessing, and recognition. The method used in this system is the Morphological Image Processing method. The parameter used is to calculate the height of the Pak Choy hydroponic plant. Using this method, we obtained an accuracy of the system of 93.81% with a light intensity of 15.7 lux. During the 6 weeks of Pak Choy plant growth, the best accuracy was in the 3rd week with an accuracy of 97.24% with an average of 13.65 lux light intensity. The worst accuracy was found in the 2nd week, with an average accuracy of 86.25% at 15 lux light intensity.
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