数字农科院2.0

Design and Test of Seedling-Picking Mechanism of Fully Automatic Transplanting Machine

文献类型： 外文期刊

作者： Biao Zhou;Hong Miao;Chunsong Guan;Xin Ji;Xiaochan Wang

作者机构：

关键词： automatic transplanting;motion simulation;seedling retrieval organization

期刊名称： Applied Sciences (Switzerland)

ISSN： 2076-3417

年卷期： 2024 年 14 卷 20 期

页码：

收录情况： SCIE（2024版） ; ; EI（2024版）

摘要： The seedling retrieval mechanism is a crucial component of fully automatic transplanting machines, significantly influencing the quality, reliability, and efficiency of the transplanting process. Nonetheless, the existing seedling retrieval mechanisms in current transplanting machines exhibit several deficiencies, including substantial damage to seedlings and inadequate retrieval accuracy. To overcome these challenges, we propose an integrated approach combining pneumatic and mechanical techniques to further improve performance. By employing a lower thimble elevation and clamping mechanism, alongside a mathematical model based on the seedling removal process, this method ensures precise seedling extraction and minimizes damage to the root system and substrate. The novelty of this study lies in its ability to reduce the adhesion between seedlings and the holes of the plug plate, thereby minimizing non-destructive extraction of the seedlings and preserving the integrity of the matrix, which is essential for ensuring healthy seedling growth. Moreover, the optimization of the seedling retrieval trajectory enhances the accuracy of the seedling retrieval mechanism while also meeting the requisite speed requirements. Experimental results indicate that at a rate of 72 seedlings per minute, the extraction success rate reached 94.90%, and the casting success rate was 98.53%. The seedling injury rate was only 1.95%, resulting in an overall success rate of 91.69%. These findings confirm that the device meets operational efficiency requirements and delivers effective performance.

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