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Current status and technical challenges of asparagusmechanical harvesting

机译:芦笋机械收获的现状及技术挑战

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This article reviews the current status and technical challenges of mechanical harvesting of asparagus. Researchers have sought high efficiency machinery for harvesting asparagus over the past 100 years. However, none asparagus harvester has commercially available due to lower yield and poorer product quality comparing with hand harvesting. This paper first analyzes the critical biological and physical properties of asparagus relevant to mechanical harvest. Existing asparagus harvester can be categorized into three groups of mechanical aid, non-selective and selective mechanical harvesting. This paper then analyzes the operating principles of those three methods in terms of spear detection, cutting/snapping and collection/transportation. Economic and harvesting efficiency results are also discussed in this paper. Three main issues contributing to low efficiency are spear detecting accuracy, spear damage during harvesting and harvest effectiveness. Reported researches suggested that the integrationof a mobile robotic system supported by a 3-D visual spear detector could offer a potential solution for automatic harvesting of asparagus if the control algorithm and/or a microcontroller could support real-time operation.
机译:本文审查了芦笋机械收割的现状和技术挑战。研究人员在过去100年中寻求高效机械进行收获芦笋。然而,由于较低的产量和较差的产品质量与手收获相比,无芦笋收割机已经可商购。本文首先分析了与机械收获相关的芦笋的关键生物学和物理性质。现有的芦笋收割机可以分为三组机械辅助,无选择性和选择性机械收获。本文在矛检测,切割/捕捉和收集/运输方面分析了这三种方法的操作原理。本文还讨论了经济和采伐效率结果。贡献低效率的三个主要问题是矛检测准确性,收获期间的矛损坏和收获效果。报告的研究表明,如果控制算法和/或微控制器可以支持实时操作,则通过3-D视觉矛盾器支持的移动机器人系统的集成可以提供用于自动收集芦笋的潜在解决方案。

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