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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Vydané v:	IET image processing Ročník 15; číslo 9; s. 2112 - 2125
Hlavní autori:	Junos, Mohamad Haniff, Mohd Khairuddin, Anis Salwa, Thannirmalai, Subbiah, Dahari, Mahidzal
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Wiley 01.07.2021
Predmet:	Agriculture Computer vision and image processing techniques Information technology applications Optical, image and video signal processing Optimisation Optimisation techniques
ISSN:	1751-9659, 1751-9667
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