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Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks

Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of tillering leaves is strongly related to its growth st...

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Uloženo v:
Podrobná bibliografie
Vydáno v:Front Plant Sci
Hlavní autoři: Zhang, Jian, Zhao, Biquan, Yang, Chenghai, Shi, Yeyin, Liao, Qingxi, Zhou, Guangsheng, Wang, Chufeng, Xie, Tianjin, Jiang, Zhao, Zhang, Dongyan, Yang, Wanneng, Huang, Chenglong, Xie, Jing
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7298076/
https://ncbi.nlm.nih.gov/pubmed/32587594
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2020.00617
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