Automatic betel nut seed selecting machine

Abstract

The invention discloses an automatic betel nut seed selecting machine. The automatic betel nut seed selecting machine comprises a detection module, a feeding mechanism, a material distributing mechanism and a discharging mechanism, wherein the feeding mechanism, the material distributing mechanism and the discharging mechanism are sequentially arranged in a stepped manner; the feeding mechanism comprises a plurality of runners used for conveying betel nuts; the discharging ends of the runners are connected to the material distributing mechanism; the material distributing mechanism comprises a rotary material distributing assembly; the betel nuts are separated one by one through the rotary material distributing assembly; the detection module is used for detecting the single betel nut separated out by the rotary material distributing assembly; the betel nuts are subjected to graded classification according to the detection result; and the betel nuts are output according to the corresponding grades through the discharging mechanism. The automatic betel nut seed selecting machine has the advantages of being small in occupied area, high in material distributing efficiency, high in automation degree and the like.

Description

technical field [0001] The invention mainly relates to the technical field of betel nut processing, in particular to an automatic seed selection machine suitable for screening betel nut raw materials. Background technique [0002] Betel nuts are native to Malaysia and are widely cultivated in tropical Asia. China is mainly distributed in tropical regions such as Yunnan, Hainan and Taiwan. According to data, my country's betel nut industry has developed rapidly in recent years, with an output value of more than 40 billion yuan. Among them, Hunan and Hainan are the main markets of my country's betel nut industry, accounting for more than 80% of the market. Although betel nuts are imported from abroad and are tropical plants, my country's betel nut industry is basically self-sufficient, and the output of betel nuts in Hainan and other regions is sufficient to meet domestic demand. In recent years, my country's betel nut production has maintained a steady growth trend. In 2018...

AI Technical Summary

Problems solved by technology

The existing areca nut raw material classification methods include manual material selection and automatic machine material selection, but the material selection speed and output cannot meet the needs of betel nut packaging production, and the labor consumption is huge

In addition, the automated machines in the prior art have large dimensions, take up a lot of space, are inconvenient to move and use, and have low classification accuracy

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