Design and testing of a machine-vision-based air-blow sorting platform for famous tea fresh leaves production

IF 10.3 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Computers and Electronics in Agriculture Pub Date : 2023-10-20 DOI:10.1016/j.compag.2023.108334

Ning Gan , Yujie Wang , Guangxin Ren , Menghui Li , Jingming Ning , Zhengzhu Zhang , Longzhe Quan

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引用次数: 0

Abstract

Famous tea is a pillar of China’s tea industry and must be processed using fresh leaves of consistent tenderness and size. However, equipment with high accuracy and efficiency are unavailable for sorting fresh tea leaves (FTLs). Therefore, in this study, we designed a machine-vision platform for sorting FTLs. This platform subjects FTLs to a horizontal tossing motion and change trajectory by blowing air, thereby achieving the sorting of different types of FTLs. The overall sorting scheme consists of classification scheme, control scheme, and process scheme. We found that different types of FTLs have different flight trajectories when subjected to horizontal tossing. And have different optimal classification features and sorting parameters. When sorting high-grade FTLs (low-grade FTLs), the classification feature used is area and mean saturation (equivalent diameter, major-axis length and G variance), the designed platform achieved a recognition rate, purity, selection rate, and integrity rate of 100% (98.5%), 94.32% (87.47%), 91.67% (90.67%), and 100% (100%), respectively. Under optimal parameters, the production efficiency of the platform reached 25 kg/h. Overall, the results of this study indicate that the designed platform can meet the small-scale production requirements for famous tea.

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基于机器视觉的名茶鲜叶吹风分选平台设计与测试

名茶是中国茶业的支柱，必须使用嫩度和大小一致的新鲜茶叶进行加工。然而，没有高精度和高效率的设备来分拣新鲜茶叶（FTL）。因此，在本研究中，我们设计了一个用于分拣FTL的机器视觉平台。该平台使FTL进行水平投掷运动，并通过吹气改变轨迹，从而实现不同类型FTL的分类。整体分拣方案由分类方案、控制方案和工艺方案组成。我们发现，不同类型的FTL在受到水平投掷时具有不同的飞行轨迹。并且具有不同的最优分类特征和排序参数。当对高级FTL（低级FTL）进行分类时，所使用的分类特征是面积和平均饱和度（等效直径、主轴长度和G方差），所设计的平台的识别率、纯度、选择率和完整性分别达到100%（98.5%）、94.32%（87.47%）、91.67%（90.67%）和100%（100%）。在优化参数下，该平台的生产效率达到25kg/h。总体而言，本研究的结果表明，所设计的平台能够满足名茶的小规模生产要求。

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来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.