An intelligent automatic loading system and a loading method for vegetable seedling breeding

Abstract

The invention belongs to the technical field of a vegetable seedling raising and breeding automatic device, and discloses an intelligent automatic loading system and a loading method for vegetable seedling breeding, wherein a control program is built in a computer, and the time interval of seeds falling into a hole tray is adjusted according to the required sowing density; the transverse bar and the longitudinal bar are controlled to slide on the electric track, and the seeds are filled into the hole tray in an orderly and accurate position; the missing image information of the seeds in the cave plate is collected by the camera installed on the cave plate and fed back to the computer to control the closing of the gear button to the circular valve. As that transverse rod and the longitudinal rod slide on the electric track under the action of the control program, the device of the invention orderly and accurately fills the see into the hole tray, the process automatically and efficiently replaces the working process of artificial vegetable seedling breeding and filling, and simultaneously improves the survival rate of the seeds, which is suitable for large-scale popularization and use.

Description

technical field [0001] The invention belongs to the technical field of vegetable seedling and breeding automatic devices, and in particular relates to an intelligent vegetable seedling and breeding automatic filling system and a filling method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] At present, whether it is flowers or vegetables, seedling cultivation in plug trays is the most fundamental change in modern horticulture, which provides a guarantee for fast and mass production. Plug trays have become an important tool in the industrial seedling production process, and the plug trays Birth also needs to be filled with seeds. At present, most of the filling of the plugs is done manually, but the manual operation is not precise enough and the efficiency is not high enough. Therefore, an intelligent automatic filling system for vegetable seedling breeding is needed to make the filling process more e...

AI Technical Summary

Problems solved by technology

[0007] The traditional color image contour extraction method is susceptible to the interference of initial contour points and slow convergence speed when extracting the target boundary, which leads to the noise of the extracted color image contour, which affects the effect of image segmentation

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