Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning

Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning

Abstract Background The identification and enumeration of medicinal plants at high elevations is an important part of accurate yield calculations. However, the current assessment of medicinal plant reserves continues to rely on field sampling surveys, which are cumbersome and time-consuming. Recentl...

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Bibliographic Details
Main Authors: Rong Ding, Jiawei Luo, Chenghui Wang, Lianhui Yu, Jiangkai Yang, Meng Wang, Shihong Zhong, Rui Gu
Format: Article
Language:English
Published: BMC 2023-04-01
Series:Plant Methods
Subjects:
Lamiophlomis rotata
Orthomosaic
Medicinal plant detection
Medicinal plant mapping
Yield prediction
Deep learning
Online Access:https://doi.org/10.1186/s13007-023-01015-z

Internet

https://doi.org/10.1186/s13007-023-01015-z

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