Rice spike quality analyzer

Abstract

The invention discloses a rice ear quality analyzer. The rice ear quality analyzer comprises a threshing and winnowing module, an information acquisition module and a control support module. The threshing and winnowing module is used for scraping off rice grains in the rice ears and dividing the rice grains into solid grains and flat grains; the information acquisition module is used for acquiringimages of the solid particles and the flat particles, the weight of the solid particles and infrared interference signals reflected by the solid particles; and the control support module is connectedwith the information acquisition module and is used for analyzing according to images of the solid particles and the flat particles, the weights of the solid particles and the infrared interference signals reflected by the solid particles, fusing obtained analysis results into a two-dimensional code and outputting and printing the two-dimensional code. According to the invention, full-automatic rice grain quality analysis is realized, the analysis efficiency is improved, and the analysis cost is reduced.

Description

technical field [0001] The invention relates to the technical field of rice grain quality analysis, in particular to a rice ear quality analyzer. Background technique [0002] For the rice breeding process, rice grain quality analysis is an important step in the detection of breeding results, but the traditional detection method uses manual threshing and visual identification, which has high labor costs, low efficiency, and is too slow to meet the needs of large-scale breeding experiments. . The existing analysis platform is divided into two steps. First, the grains on the ears of rice are taken off, and then they are collected and flattened on the platform with a white background to be photographed and analyzed. The degree of automation is low, and the operation is still relatively complicated; the thousand-grain weight measurement platform adopts vibration counting calculation, It takes a long time, has many steps, and cannot be fully automated. Contents of the inventio...

AI Technical Summary

Problems solved by technology

[0002] For the rice breeding process, rice grain quality analysis is an important step in the detection of breeding results, but the traditional detection method uses manual threshing and visual identification, which has high labor costs, low efficiency, and the speed is too slow to meet the needs of large-scale breeding experiments

The existing analysis platform is divided into two steps. First, the grains on the ears of rice are taken off, and then they are collected and flattened on the platform with a white background to take pictures and analyze. The degree of automation is low, and the operation is still relatively complicated; the thousand-grain weight measurement platform adopts vibration counting calculation, It takes a long time, and there are many operation steps, and it cannot be fully automated

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