Rice Panicles Counting Method Based on YOLOv7 Using Unmanned Aerial Vehicles Images

Rice Panicles Counting Method Based on YOLOv7 Using Unmanned Aerial Vehicles Images

【Objective】Based on deep 1earning techno1ogy, rapid counting of rice panic1es in RGB images co11ected by unmanned aeria1 vehic1es (UAV) is beneficia1 for 1abor saving, time saving, and efficiency. And it provides a basis for downstream harvesting, drying, warehousing and variety comparing and eva1ua...

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Bibliographic Details
Main Authors: Hongle WANG, Quanzhou YE, Xinglin WANG, Dacun LIU, Zhenwe LIANG
Format: Article
Language:English
Published: Guangdong Academy of Agricultural Sciences 2023-07-01
Series:Guangdong nongye kexue
Subjects:
rice
panicles detection
yolov7
object detection
deep learning
Online Access:http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202307008

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http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202307008

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