Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield
Ministry of Agriculture and Rural Affairs · National Engineering Research Center for Information Technology in Agriculture · +2 more institutions
Abstract
• The crop growth monitoring indicator (CGMI) was constructed. • The relationship between CGMI and crop traits was analyzed. • CGMI could be used to monitor potato crop growth and estimate yields. • Spatial distribution maps of estimated yields and errors were mapped and analyzed. Timely and accurate monitoring of potato crop growth and estimating yields are essential to improve agricultural production. Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is a non-destructive method for crop growth monitoring (CGM) and yield estimation, which plays a vital role in the agricultural application. However, CGM and yield estimation are typically achieved through quantitative inversion of specific crop…
Citation impact
- FWCI
- 69.61
- Percentile
- 100%
- References
- 54
Authors
10- YLYang Liu
Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Information Technology in Agriculture
- HFHaikuan FengCorresponding
National Engineering Research Center for Information Technology in Agriculture
- YFYiguang Fan
National Engineering Research Center for Information Technology in Agriculture
- JYJibo YueCorresponding
Henan Agricultural University
- FYFuqin Yang
Henan University of Engineering
Topics & keywords
- Hyperspectral imaging
- Yield (engineering)
- Remote sensing
- Agricultural engineering
- Environmental science
- Precision agriculture
- Agronomy
- Engineering
- Zero hunger