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研究关于优质绿茶的柔软叶子识别和机械感知拔指的研究

Wei Zhang¹, Yong Chen¹, Qianqian Wang¹

¹College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.

Journal of the science of food and agriculture

|October 29, 2024

概括

这项研究介绍了一种智能柔软叶子识别算法,以及机械感知到的摘花指,用于茶叶采摘机器人. 这些创新在识别和摘取嫩茶叶方面取得了很高的准确性,这对于优质绿茶生产至关重要.

科学领域:

农业机器人农业机器人
计算机视觉计算机视觉
机械工程机械工程

背景情况:

智能识别和精确摘对于推进茶叶收获机器人的发展至关重要.
在高质量的绿茶生产中,对自动化解决方案的需求正在增加.

研究的目的:

开发一种优质绿茶的招标叶子识别算法.
设计一种机械可感知的指,模仿人类手的动作.

主要方法:

利用细分算法和颜色特征来识别柔软的叶子.
采用有限元分析来优化抓柄设计和应变量表的位置,以进行反控制.
开发了一个指,旨在复制人类的动作.

主要成果:

招标单识别算法实现了平均准确度超过92.8%.
机械感知的拔指显示了92.5%的成功拔率.
有限元分析为控制的抓力设计提供了信息.

结论:

开发的招标叶识别算法和指是有效的.
这些进步为智能嫩叶摘叶机器人提供了基础技术.
该系统通过精确的收获来支持生产高质量的茶叶产品.

关键词:

高品质的绿茶.机械上可以感知到的指.分段化算法分段化算法招标单识别算法招标单识别算法

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