An optimized YOLO‐based object detection model for crop harvesting system

The adoption of automated crop harvesting system based on machine vision may improve productivity and optimize the operational cost. The scope of this study is to obtain visual information at the plantation which is crucial in developing an intelligent automated crop harvesting system. This paper ai...

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Veröffentlicht in:	IET image processing Jg. 15; H. 9; S. 2112 - 2125
Hauptverfasser:	Junos, Mohamad Haniff, Mohd Khairuddin, Anis Salwa, Thannirmalai, Subbiah, Dahari, Mahidzal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Wiley 01.07.2021
Schlagworte:	Agriculture Computer vision and image processing techniques Information technology applications Optical, image and video signal processing Optimisation Optimisation techniques
ISSN:	1751-9659, 1751-9667
Online-Zugang:	Volltext
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