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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Front Plant Sci
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2020
Aiheet:
Plant Science
Linkit: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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