2012年度关于喷雾机械的外文文献.doc

“【】”内为粗略翻译。 （日本） 名称 Development of an automatic fruit-set-reagent spraying robot for tomato plants to promote uniform fruit ripening. 为促进果实均匀成熟，对番茄植株自动喷雾机器人的研究进展 作者 Kurosaki, H.; Ohmori, H.; Takaichi, M. 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. 本研究的目标是坐果试剂喷雾机器人。在本文中，对由机器人试剂喷雾的准确性进行了测试。机器人的机械手组成的具有三个自由度的机器视觉系统。包含有一个控制单元，一个喷雾单元以及手动升降装置和车辆单元。机器视觉系统使得机器人能够通过图像处理，检测到花簇并有针对性的对花簇进行喷雾。 机器人喷雾实验操作在夜间的温室中进行。通过图像处理，通过每簇盛开的鲜花花簇数量获得识别。对于单一的花簇，三个或四个以上盛开的鲜花花簇识别的成功率分别是95％和78％。喷涂的成功率的平均值为87％。喷涂失败的主要原因是花的叶子和主干阻挡。包括图像处理时间在内，平均花了12秒喷洒花簇，。 关键词 accuracy. flowers. fruit set. image processing. machine vision. ripening. robots. spraying. tomatoes. 准确性。 花朵坐果率。 图像处理， 机器视觉。 机器人喷涂。 西红柿。 收录 Acta Horticulturae; 2012. 952, 931-936. 5 ref. （美国） 名?? Development of a variable-rate sprayer with laser scanning sensor to synchronize spray outputs to tree structures 使用激光扫描传感器的可调喷雾器对树杈结构喷雾的研究进展 作者 Chen, Yu; Zhu, Heping; Ozkan, H.E. 摘要 Effi