首页> 外文期刊>Acta Horticulturae >Development of an automatic fruit-set-reagent spraying robot for tomato plants to promote uniform fruit ripening.
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Development of an automatic fruit-set-reagent spraying robot for tomato plants to promote uniform fruit ripening.

机译:研发用于番茄植株的自动定果剂喷涂机器人,以促进均匀的果实成熟。

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摘要

The objective of this research is to develop a fruit-set-reagent spraying robot. In this paper, the accuracy of reagent spraying by the robot was examined. The robot is composed of a manipulator with three degrees of freedom, a machine vision system, a control unit, a spraying unit, a manual lift unit, and a vehicle unit. The machine vision system enables the robot to detect flower clusters by image processing, and the spraying unit enables the robot to spray the fruit-set reagent onto a targeted flower cluster. The robot is designed to operate at night. The spraying experiments described here were done in a greenhouse. The flower cluster recognition success rate obtained by image processing was influenced by the number of blooming flowers per cluster: the recognition success rate was 78% for a single blooming flower and more than 95% for clusters with three or four blooming flowers. The average of spraying success rate was 87%. The main reason for failure of spraying was obstruction of flowers by the leaves and main stem. It took an average of 12 s to spray a flower cluster, including image-processing time.
机译:这项研究的目的是开发一种水果固定剂喷涂机器人。在本文中,检查了机器人喷射试剂的准确性。机器人由具有三个自由度的机械手,机器视觉系统,控制单元,喷涂单元,手动升降单元和车辆单元组成。机器视觉系统使机器人能够通过图像处理检测花簇,而喷涂单元使机器人能够将水果定型剂喷涂到目标花簇上。该机器人设计为在夜间运行。这里描述的喷雾实验是在温室中进行的。通过图像处理获得的花簇识别成功率受每簇盛开花的数量影响:单个盛开花的识别成功率为78%,而具有三到四朵盛开花的簇的识别成功率为95%以上。平均喷涂成功率为87%。喷雾失败的主要原因是叶片和主茎阻塞了花朵。喷洒花簇平均需要12 s,包括图像处理时间。

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