Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery

Rapeseed Seedling Stand Counting and Seeding Performance Evaluation at Two Early Growth Stages Based on Unmanned Aerial Vehicle Imagery

The development of unmanned aerial vehicles (UAVs) and image processing algorithms for field-based phenotyping offers a non-invasive and effective technology to obtain plant growth traits such as canopy cover and plant height in fields. Crop seedling stand count in early growth stages is important n...

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Bibliographic Details
Main Authors: Biquan Zhao, Jian Zhang, Chenghai Yang, Guangsheng Zhou, Youchun Ding, Yeyin Shi, Dongyan Zhang, Jing Xie, Qingxi Liao
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Plant Science
Subjects:
UAV
remote sensing
vegetation index
rapeseed seedling
stand count
high-throughput phenotyping
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2018.01362/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2018.01362/full

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