A system and method for harvesting control of ratooned rice in wide and narrow rows based on binocular vision

Abstract

The invention provides a binocular vision-based wide and narrow row ratooned rice harvest control system and method, including an image acquisition device, an image processing system and a hydraulic control unit; the image acquisition device is used to collect images of ratooned rice, and the image processing system processes the images of ratooned rice , and recognize the height, density, and width and narrow row boundaries of ratooned rice, and obtain the navigation line information of ratooned rice plant height, density, and width and narrow row boundaries. The hydraulic control unit of the harvester controls the advance of the harvester according to the speed execution signal sent by the image processing system The hydraulic control unit controls the steering of the harvester according to the steering execution signal. The present invention uses a binocular camera to obtain surface information and depth information of crops, and calculates plant height, density and boundary navigation lines of crops, provides core data support for harvesters' precise harvesting and intelligent control, and solves crop boundaries of traditional intelligent harvesters at the same time The recognition method is susceptible to the interference of light, resulting in poor reliability and low accuracy.

Description

technical field [0001] The invention belongs to the technical field of agricultural machinery automation, and in particular relates to a binocular vision-based system and method for regulating the harvest of ratooned rice in wide and narrow rows. Background technique [0002] Wide and narrow row cultivation can increase the ventilation and light transmittance of rice, reduce the occurrence of sheath blight and rice blast; it is convenient for mechanical application of pesticides and fertilizers in the field, and the mechanical damage to rice is light. The cultivation of wide and narrow rows requires the harvester to drive on the wide row when harvesting in the field, which can reduce the crushing of the crops by the machine when the first season of ratooned rice is harvested. Therefore, it is very important to identify the border of crops and obtain border navigation line information to control the automatic steering of the harvester. [0003] Crop height and density are th...

AI Technical Summary

Problems solved by technology

[0004] In view of the above technical problems, the present invention provides a binocular vision-based wide and narrow row ratooning rice harvesting control system and method, using binocular cameras to obtain crop surface information and depth information, and calculate plant height, density and boundary navigation lines of crops The method provides core data support for the precise harvesting and intelligent control of the harvester, and at the same time solves the problem that the traditional intelligent harvester crop boundary recognition method is easily interfered by light, resulting in poor reliability and low precision.

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