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Current Status and Future Trends of Mechanized Fruit Thinning Devices and Sensor Technology

机译:机械化水果稀疏设备和传感器技术的现状与未来趋势

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This paper reviews the different concepts that have been investigated concerning the mechanization of fruit thinning as well as multiple working principles and solutions that have been developed for feature extraction of horticultural products, both in the field and industrial environments. The research should be committed towards selective methods, which inevitably need to incorporate some kinds of sensor technology. Computer vision often comes out as an obvious solution for unstructured detection problems, although leaves despite the chosen point of view frequently occlude fruits. Further research on non-traditional sensors that are capable of object differentiation is needed. Ultrasonic and Near Infrared (NIR) technologies have been investigated for applications related to horticultural produce and show a potential to satisfy this need while simultaneously providing spatial information as time of flight sensors. Light Detection and Ranging (LIDAR) technology also shows a huge potential but it implies much greater costs and the related equipment is usually much larger, making it less suitable for portable devices, which may serve a purpose on smaller unstructured orchards. Portable devices may serve a purpose on these types of orchards. In what concerns sensor methods, on-tree fruit detection, major challenge is to overcome the problem of fruits’ occlusion by leaves and branches. Hence, nontraditional sensors capable of providing some type of differentiation should be investigated.
机译:本文回顾了已研究的有关水果稀疏机械化的不同概念,以及针对田间和工业环境中园艺产品特征提取开发的多种工作原理和解决方案。研究应致力于选择方法,这不可避免地需要结合某些传感器技术。计算机视觉通常是解决非结构化检测问题的一种明显解决方案,尽管尽管选择了观点,但叶子经常遮挡果实。需要进一步研究能够区分物体的非传统传感器。超声波和近红外(NIR)技术已针对与园艺产品相关的应用进行了研究,并显示出满足这种需求的潜力,同时可提供空间信息作为飞行时间传感器。光探测与测距(LIDAR)技术也显示出巨大的潜力,但它意味着更大的成本,并且相关设备通常更大,从而使其不适用于便携式设备,这可能适用于较小的非结构化果园。便携式设备可以在这些类型的果园上发挥作用。在传感器方法,树上水果检测方面,主要的挑战是克服树叶和树枝阻塞水果的问题。因此,应该研究能够提供某种区分的非传统传感器。

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