Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage

Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage

Abstract Background The accurate estimation of potato yield at regional scales is crucial for food security, precision agriculture, and agricultural sustainable development. Methods In this study, we developed a new method using multi-period relative vegetation indices (rVIs) and relative leaf area...

Full description

Bibliographic Details
Main Authors: Shanjun Luo, Yingbin He, Qian Li, Weihua Jiao, Yaqiu Zhu, Xihai Zhao
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Plant Methods
Subjects:
Yield estimation
Remote sensing
Potato
Relative variables
Slogistic model
Weighted growth stage
Online Access:http://link.springer.com/article/10.1186/s13007-020-00693-3

Internet

http://link.springer.com/article/10.1186/s13007-020-00693-3

Similar Items