Model for Predicting Grain Yield with Canopy Hyperspectal Remote Sensing in Wheat
Abstract
Non-destructive and quick prediction of grain yield is necessary in wheat production.The objectives of this study were to determine the relationships of grain yield to ground-based canopy hyper-spectral reflectance and spectral parameters,and to derive regression equations for predicting grain yield in winter wheat(Triticum aestivum L.) with canopy hyper-spectral remote sensing.Four field experiments were conducted with different wheat varieties...
Paper Details
Title
Model for Predicting Grain Yield with Canopy Hyperspectal Remote Sensing in Wheat
Published Date
Jan 1, 2007
Journal
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History