Mid-season prediction of grain yield and protein content of spring barley cultivars using high-throughput spectral sensing

Author:

Barmeier Gero,Hofer Katharina,Schmidhalter Urs

Funder

DFG (German Research Foundation)

FNR (Agency for Renewable Resources)

BMEL

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Reference31 articles.

1. Spectral vegetation indices as nondestructive tools for determining durum wheat yield;Aparicio;Agron. J.,2000

2. Evaluation of yield and drought using active and passive spectral sensing systems at the reproductive stage in wheat;Becker;Front. Plant Sci.,2017

3. Bodenkundliche Kartieranleitung. 5. Verbesserte und erweiterte Auflage (Herausgegeben von der Bundesanstalt für Geowissenschaften und Rohstoffe in Zusammenarbeit mit den Staatlichen Geologischen Diensten der Bundesrepublik Deutschland);Bodenkunde,2005

4. Comparing the performance of active and passive reflectance sensors to assess the normalized relative canopy temperature and grain yield of drought-stressed barley cultivars;Elsayed;Field Crops Res.,2015

5. ‘Multivariate data analysis-in practice: an introduction to multivariate data analysis and experimental design;Esbensen,2002

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