Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
National Engineering Research Center for Information Technology in Agriculture · Ministry of Agriculture · +7 more institutions
Abstract
Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high…
Citation impact
- FWCI
- 47.30
- Percentile
- 100%
- References
- 160
Authors
16- GYGuijun Yang
National Engineering Research Center for Information Technology in Agriculture, Ministry of Agriculture, Ministry of Agriculture and Rural Affairs
- JLJiangang Liu
National Engineering Research Center for Information Technology in Agriculture, Ministry of Agriculture and Rural Affairs, Ministry of Agriculture
- CZChunjiang ZhaoCorresponding
Ministry of Agriculture, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Information Technology in Agriculture
- ZLZhenhong Li
National Engineering Research Center for Information Technology in Agriculture, Newcastle University
- YHYanbo Huang
United States Department of Agriculture, Agricultural Research Service
Topics & keywords
- Phenomics
- Computer science
- Field (mathematics)
- Phenotypic trait
- Remote sensing
- Genomics
- Biology
- Geography
Funding
- NNNational Natural Science Foundation of ChinaAwards: 61661136003, 41471285, 41471351
- MOMinistry of Science and Technology of the People's Republic of ChinaAward: 2016YFD0300602
- BABeijing Academy of Agricultural and Forestry SciencesAward: KJCX20170423
- NKNational Key Research and Development Program of ChinaAward: 2016YFD0300602