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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:水培农民需要确定植物年龄,以调节营养液浓度。水培植物根据其年龄需要不同的营养液浓度。农民通常会根据植物大小手动进行调整。它会导致植物无法获得足够的营养,从而影响生长。这项研究旨在基于数字图像处理来识别植物的年龄。使用与HSV(色相,饱和度,值)方法相似的颜色进行分割的重新研究方法。该方法将选择植物面积,转换为黑白格式,计算像素数,并可以根据标准年龄类别确定植物年龄。本研究中使用的参数是基于系统上像素帐户数量的100个图像作物栽培样品的真实年龄值。结果表明,该系统对植物年龄的识别精度为81%。

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