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浅析基于机器视觉的大豆种子品质检测与分选

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传统的大豆种子品质检测与分选方法需要大量的人力和时间,且存在主观判断和误差的问题.而机器视觉技术可以进行图像处理和精准识别,快速准确地监测、分选种子品质.基于此,本文研究了基于机器视觉的大豆种子品质检测与分选系统,旨在提高农业生产,保证农产品质量,促进农业可持续发展.
Analysis of Soybean Seed Quality Detection and Sorting Based on Machine Vision
The traditional methods of soybean seed quality detection and sorting require a lot of manpower and time,and there are subjective judgments and errors.Machine vision technology can perform image processing and precise recognition,quickly and accurately monitoring and sorting seed quality.Based on this,this article studies a machine vision based soybean seed quality detection and sorting system,aiming to improve agricultural production,ensure the quality of agricultural products,and promote sustainable agricultural development.

machine visionsoybean seedsquality testing and sortingdesign and implementation

朱亚琪

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东阿县检验检测中心,山东 聊城 252200

机器视觉 大豆种子 品质检测与分选 设计与实现

2024

现代食品
国家粮食储备局郑州科学研究设计院

现代食品

影响因子:0.169
ISSN:2096-5060
年,卷(期):2024.30(2)
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