Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review

The utilization of machine vision and its associated algorithms improves the efficiency, functionality, intelligence, and remote interactivity of harvesting robots in complex agricultural environments. Machine vision and its associated emerging technology promise huge potential in advanced agricultu...

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Veröffentlicht in:	Frontiers in plant science Jg. 11; S. 520170
Hauptverfasser:	Tang, Yunchao, Chen, Mingyou, Wang, Chenglin, Luo, Lufeng, Li, Jinhui, Lian, Guoping, Zou, Xiangjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Lausanne Frontiers Media SA 19.05.2020 Frontiers Media S.A
Schlagworte:	3D reconstruction Agricultural equipment agricultural harvesting robotic Agriculture Algorithms Artificial intelligence Business metrics classification Crops Deep learning Fault tolerance Fruits Harvest Harvesting Image processing Image reconstruction Localization Machine learning Machine vision Marking and tracking techniques Occlusion Picking Plant Science recognition Robotics Robots Target recognition Tracking vision Vision systems
ISSN:	1664-462X, 1664-462X
Online-Zugang:	Volltext
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