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Ramie Plant Counting Based on UAV Remote Sensing Technology and Deep Learning

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成果类型:
期刊论文
作者:
Fu, Hong-Yu;Yue, Yun-Kai;Wang, Wei;Liao, Ao;Xu, Ming-Zhi;...
通讯作者:
She Wei
作者机构:
[Liao, Ao; Yue, Yun-Kai; Wang, Wei; Gong, Xihong; Cui, Guo-Xian; Xu, Ming-Zhi; She, Wei; Fu, Hong-Yu] Hunan Agr Univ, Coll Agron, Changsha, Peoples R China.
[She, Wei] Hunan Agr Univ, Coll Agron, Changsha 410128, Peoples R China.
通讯机构:
[She Wei] C
College of Agronomy, Hunan Agricultural University, Changsha, China
语种:
英文
关键词:
Ramie;plant counting;object detection;data augmentation;UAV;RGB image
关键词(中文):
苎麻;植物计数;目标检测;数据扩充;图像
期刊:
Journal of Natural Fibers
ISSN:
1544-0478
年:
2023
卷:
20
期:
1
基金类别:
National Key Research and Development Program of China; National Hemp Industry Technology System; National Natural Science Foundation of China; [2018YFD0201106]; [Cars-16-e11]; [31471543]
机构署名:
本校为第一机构
院系归属:
农学院
摘要:
Plants number is an essential field phenotypic trait that affects the growth status and final quality of crop. In recent years, the integration of remote sensing technology and deep learning technology has provided a solution to the problem of crop plant counting in field. However, most of the previous studies have selected fixed crops (such as rice, wheat) for research, and few studies have reported the limitations in the application of this technology. In addition, as far as we know, there has been no report on the problem of ramie germplasm ...

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