Active vision platform for plant phenotypic acquisition and plant phenotypic acquisition method

Abstract

The invention relates to an active vision platform for plant phenotypic acquisition and a plant phenotype acquisition method, wherein the vision platform comprises a depth camera and a workbench; thedepth camera is mounted on a bracket; a controller and a moving seat which are electrically connected with the depth camera are arranged on the workbench; a driving device for driving the moving seatto move toward a vertical axis of the depth camera is mounted on the workbench; a rotating table driven by a first stepping motor to rotate is arranged on the moving seat; and the first stepping motorand the driving device are electrically connected with the controller. According to the invention, the active vision platform is formed by a mechanical device and the depth camera, and the active vision platform is simple in structure and relatively low in cost; the controller realizes the entire active visual process based on an image acquired by the monocular camera and the accurate detection and feedback of a sensor, and has relatively high measurement precision; human involvement is reduced by an active visual approach, so that labor is saved; and the combination of a lifting device and the driving device ensures the measurement field of view of the depth camera.

Description

technical field [0001] The invention relates to the field of measurement technology, in particular to an active vision platform for acquiring plant phenotypes and a method for acquiring plant phenotypes. Background technique [0002] In the phenotypic analysis of plant breeding, the acquisition of phenotypic characteristic parameters has always been the focus of phenotypic analysis, and it is also the prerequisite for better plant field management. The traditional measurement methods of phenotypic characteristic parameters are mostly done manually, which is time-consuming and laborious. Moreover, the influence of human factors is large, and the reliability of the measurement results is low. For some fresh and tender plant seedlings or plants that are easily damaged, the measurement of characteristic parameters is complicated and difficult. [0003] At present, the acquisition of plant phenotypic characteristic parameters mainly depends on manual measurement by researchers, ...

AI Technical Summary

Problems solved by technology

[0002] In the phenotypic analysis of plant breeding, the acquisition of phenotypic characteristic parameters has always been the focus of phenotypic analysis, and it is also the prerequisite for better plant field management. The traditional measurement methods of phenotypic characteristic parameters are mostly done manually, which is time-consuming and laborious. Moreover, the influence of human factors is large, and the reliability of the measurement results is low.

For some tender plant seedlings or plants that are easily damaged, the measurement of characteristic parameters is complex and difficult

[0003] At present, the acquisition of plant phenotypic characteristic parameters mainly depends on manual measurement by researchers, which is time-consuming and labor-intensive, and there is a large chance and low accuracy.

Although various phenotypic characteristic parameter acquisition platforms have emerged for the plants under study, such as handheld, human-carried, vehicle-mounted and large-scale indoor and outdoor automation platforms, etc., but their cost is high, and the measurement accuracy has not been significantly improved.

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