In the past, seed counts were a difficult problem in the field of seed detection tests such as the 1000-grain weight test, because most of them used manual counting, and the labor intensity was not that high. The efficiency was still low. With the increase of seed inspection items, labor required long time Intuitive visual counting, so that the degree of fatigue of the study is too high, easy to produce errors after long-term operations, it is also prone to error. However, in the seed inspection, a large number of seeds are often required for counting, and with the development of the seed industry, the workload is also increasing. Therefore, the development of a seed automatic counting system is an urgent problem in the field of seed inspection.
With the rapid development of computer technology and optoelectronic technology, digital image processing technology has been rapidly developed and widely used, of which digital image detection is an important application. This digital image detection technology is used by the seed automatic counting system. Its application can overcome the unfavorable factors brought about by manual detection, improve detection accuracy and efficiency, and reduce production costs. In addition, in order to solve the count inaccuracy caused by seed adhesion, the seed automatic counting system also provides a correction scheme, that is, by adding "delete" to do the corresponding correction, so that the number of grain accuracy to 100%.
Top Cloud Yunnong devoted itself to the research and development of seed testing instruments for many years and knew the bottleneck problem faced by artificial seed counting. Therefore, this professional and more automatic seed counting system was developed. The system is easy to use and has high precision and good performance. Reproducibility. The applied machine vision-based seed automatic technology method has very large technical research value and practical application value, not only solves the problems of manual counting labor intensity, low efficiency, error-prone, but also meets the requirements of real-time detection, and its principle. The method is suitable for all kinds of different seed counts, and therefore has a very wide application value in related fields such as seed research or inspection.
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