Frontiers in Plant Science (Jun 2023)
Corrigendum: Retrieving rice (Oryza sativa L.) net photosynthetic rate from UAV multispectral images based on machine learning methods
- Tianao Wu,
- Tianao Wu,
- Tianao Wu,
- Wei Zhang,
- Shuyu Wu,
- Shuyu Wu,
- Shuyu Wu,
- Minghan Cheng,
- Lushang Qi,
- Guangcheng Shao,
- Xiyun Jiao,
- Xiyun Jiao,
- Xiyun Jiao
Affiliations
- Tianao Wu
- College of Agricultural Science and Engineering, Hohai University, Nanjing, China
- Tianao Wu
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
- Tianao Wu
- Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing, China
- Wei Zhang
- College of Agricultural Science and Engineering, Hohai University, Nanjing, China
- Shuyu Wu
- College of Agricultural Science and Engineering, Hohai University, Nanjing, China
- Shuyu Wu
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
- Shuyu Wu
- Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing, China
- Minghan Cheng
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou, China
- Lushang Qi
- College of Agricultural Science and Engineering, Hohai University, Nanjing, China
- Guangcheng Shao
- College of Agricultural Science and Engineering, Hohai University, Nanjing, China
- Xiyun Jiao
- College of Agricultural Science and Engineering, Hohai University, Nanjing, China
- Xiyun Jiao
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
- Xiyun Jiao
- Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing, China
- DOI
- https://doi.org/10.3389/fpls.2023.1229908
- Journal volume & issue
-
Vol. 14
Abstract
No abstracts available.Keywords
- UAV multispectral remote sensing
- rice canopy
- net photosynthetic rate
- vegetation index
- textural index
- machine learning