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基于机器视觉的播种精度检测技术

更新时间：2019-09-16 06:52:27 大小：281K 上传用户：杨义查看TA发布的资源 标签：机器视觉 下载积分：0分 评价赚积分 （如何评价?） 打赏 收藏 评论(0) 举报

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Seeding Precision Test Based on Machine Vision  
Lin Jiachun1 Liwei2  
College of Engineering, China Agricultural University  
Abstract  
Seeding uniformity is a crucial index to seeding performance and quality of a grain seeder. A  
testing approach for seeding precision was developed in this paper, which is an integrated technology of  
machine vision, pattern recognition, and automatic control. The new method realizes a precise and  
reliable test of seeding precision, and an automatic control of tester operation. A machine vision based  
test-bed was developed for performance tests of grain seeders, such as a precision planter, a drill  
planter, a hill-drop planter, and a corresponding software package was compiled to capture the images  
of the deposited seeds, to segment the seeds from the background of an image, and to calculate the  
distances between seeds after precision seeding, the number of seeds per length after drill seeding, and  
the distance between hills and number of seeds per hill after hill-drop seeding. The date obtained above  
was then used to estimate the performance of a seeder by the statistical calculations. At the end of the  
test, a normative testing report was printed out. A special illumination system was constructed to light  
the scenes under the cameras. Three monochrome cameras, one per row, were connected to a color  
frame grabber board to accomplish image captures. An special designed image splicing algorithm was  
enable to eliminate overlapped area of two adjacent images in sequence. The test-bed has proved  
reliability and accuracy from many practical tests.  
Keywords: Seeder performance test, Machine vision, Sequential image, Image splicing  
1. Introduction  
Performance of a seeder has remarkable influences on cost and yield of agricultural products and  
especially its seeding uniformity is a crucial index in estimation of a seeder’s quality. In order to  
quantify a planter performance, a wide variety of approaches have been developed with regard to plant  
spacing[1~11]. Performance measurements, such as the distance between plants in the field, have been  
used in some tests, the distance between seeds on a grease covered belt test stand in the other tests and  
the distance between seeds planted into soil in a few tests.  
A planter test at present involves the techniques of optoelectronics, piezoelectric method, fast  
imaging, and computer vision. Lan, Kocher and Smith developed an opto-electronic sensor system for  
laboratory measurement of planter seed spacing with small seeds[11]. The core of the hardware in this  
opto-electronic system is a shutter that consists of 24 pairs of near infrared (NIR) LEDs and  
phototransistors. Shi Zhixing developed a seed detection sensor, which consists of a red light diode  
(RLD) and a silicon photoelectric cell, used for planter performance test. The light from the diode was  
reflected by two parallel placed mirrors to form light grid, which would be shaded when a seed fell [9]  
.
1
Support by Agriculture Seed Project, (200KY001)  
1

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