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Plant age identification system of outdoor hydroponic cultivation based on digital image processing

机译:基于数字图像处理的户外水耕栽培植物年龄识别系统

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Plant age identification is needed by hydroponic farmer to adjust nutrient solution concentration. Hydroponic plants need different nutrient solution concentration according to their age. Farmers usually adjust it manually based on plants size. It causes plants can't get sufficient nutrition which will have impact on growth. This research aims to identify plants age based on digital image processing. Researh method using segmentation based on color similarity to HSV (Hue, Saturation, Value) method. This method will select plant area, convert to black and white format, calculate pixel number and plant age can be identified based on the standard age categories. The parameters used in this research is the truth age value of 100 image crop cultivation samples based on the number of pixel accounts on the system. Result shows that system has accuracy of 81% on plants age identification.
机译:水培农民需要植物年龄识别来调整营养溶液浓度。水培植物根据其年龄需要不同的营养溶液浓度。农民通常根据植物尺寸手动调整它。它导致植物无法获得足够的营养,这将对生长产生影响。本研究旨在识别基于数字图像处理的植物时代。基于色彩相似性的分割与HSV(色调,饱和,值)方法的分段的控制方法。该方法将选择工厂区域,转换为黑白格式,计算像素数量和工厂年龄可以根据标准年龄类别识别。本研究中使用的参数是基于系统上的像素账户数量的100个图像作物培养样本的真实年龄值。结果表明,植物年龄识别系统具有81 %的准确性。

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