基于标尺图像识别的作物株高测量

doi:10.16180/j.cnki.issn1007-7820.2022.07.006

Abstract

Abstract:

Crop height measurement is an important part of automatic crop observation, which can directly reflect the growth of crops. To solve the problem that the cost of artificial measurement of crop height is higher and the subjective influence of individual is greater, this study presents a method of measuring crop height by image processing. The ruler is placed behind the main stalk of the crop to take the photo of the ruler. The obtained images were converted to HSV color space on MATLAB to divide and filter the color blocks of the ruler. The pixel height of the color block is calculated by the connected domain analysis method. The plant height is calculated by the ratio relation between the ruler pixel height and the actual height. The shrubbery is taken as the experimental object to take photos and make measurement. Comparing the measured plant height data with manual measurement data, the results show that the measurement error is less than 0.0173 m, which meets the standard of automatic observation of plant height.

Key words: crop height, ruler, image processing, HSV, color space, image segmentation, connected domain, MATLAB

CLC Number:

TP302

SUN Xiang,PEI Xiaofang,ZHOU Wang,ZHU Ping. Crop Height Measurement Based on Ruler Image Recognition[J].Electronic Science and Technology, 2022, 35(7): 32-39.

Figures/Tables 10

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References 19

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拍照时间	机位1	机位2	机位3	人工测量
9:00	0.601 7 m	0.595 2 m	0.593 1 m
14:00	0.595 5 m	0.601 3 m	0.593 8 m	0.610 4 m
17:00	0.602 4 m	0.594 5 m	0.597 4 m

拍照时间	灌木丛1	灌木丛2	灌木丛3
9:00	0.601 7 m	0.802 1 m	0.597 0 m
14:00	0.595 5 m	0.791 3 m	0.599 3 m
17:00	0.602 4 m	0.794 7 m	0.604 1 m
人工测量	0.610 4 m	0.805 4 m	0.608 6 m

植株高度	一级误差	二级误差	三级误差	四级误差
0.0~0.1	≤0.02	0.02~0.03	0.03~0.06	>0.06
0.1~0.2	≤0.03	0.03~0.04	0.04~0.07	>0.07
0.2~0.4	≤0.04	0.04~0.06	0.06~0.09	>0.09
0.4~1.0	≤0.05	0.05~0.10	0.10~0.14	>0.14
1.0~2.0	≤0.06	0.06~0.12	0.12~0.16	>0.16
>2.0	≤0.07	0.07~0.14	0.14~0.18	>0.18

Crop Height Measurement Based on Ruler Image Recognition

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