Corn seed dynamic image fine selection device and method used for oriented sowing

Abstract

The invention belongs to the technical field of machine vision, and provides a corn seed dynamic image fine selection device and method used for oriented sowing. By means of the corn seed dynamic image fine selection device, acquisition and detection calculation of dynamic image information of corn seeds can be achieved; by means of detection and analysis of appearance features and the image information of the corn seeds, fine selection of the corn seeds can be achieved through the corn seed dynamic image fine selection device and method; the seeds with black embryos exposed out of the tips, the small and circular seeds, the seeds damaged by insects, the mildewing seeds and the adhesive seeds are blown away, and the precision of fine selection is greatly improved; and meanwhile, the prerequisite is provided for arraying, packaging and oriented sowing of the corn seeds in the later period. Detection calculation is sequentially conducted on the corn seeds through tens of detection indexes, the whole detection process is high in mechanical degree, and a great promotion effect is achieved for application and popularization of commercialized instruments and equipment which are used for corn seed detection.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a dynamic image selection device and method for corn kernels for directional sowing. Background technique [0002] Corn production occupies a very important strategic position in my country's food production and food security. Directional sowing can improve the effect of light and ventilation, and is of great significance for dense planting and increased production. To realize the directional sowing of corn, the necessary prerequisite is to ensure the germination rate of the seeds and to select them before sowing. [0003] Machine vision technology can be used for the quantitative description of seed characteristic indicators, which provides a solution for the rapid and effective detection of corn seeds. In the 1990s, developed countries launched a large-scale detection of important quality characteristics such as corn kernel defects and damage, size and surf...

AI Technical Summary

Problems solved by technology

At present, there are many researches on the evaluation algorithms of corn seed quality at home and abroad, and they mainly focus on the static detection of characteristic parameters, while there are few researches on the dynamic online detection of corn seeds and the automatic selection and grading system. Commercial instruments and equipment specially used for corn kernel testing

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