Estimation of grain yield in wheat using source–sink datasets derived from RGB and thermal infrared imaging

Estimation of grain yield in wheat using source–sink datasets derived from RGB and thermal infrared imaging

Abstract Timely and efficient monitoring of crop aboveground biomass (AGB) and grain yield (GY) forecasting before harvesting are critical for improving crop yields and ensuring food security in precision agriculture. The purpose of this study is to explore the potential of fusing source–sink‐level...

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Bibliographic Details
Main Authors: Rui Li, Dunliang Wang, Bo Zhu, Tao Liu, Chengming Sun, Zujian Zhang
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Food and Energy Security
Subjects:
biomass
multivariate eigenvalues
proximal sensing technology
source–sink dataset
yield
Online Access:https://doi.org/10.1002/fes3.434

Internet

https://doi.org/10.1002/fes3.434

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