Canopy spectral reflectance can predict grain nitrogen use efficiency in soft red winter wheat

The Use of Reflectance Data for In-Season Soybean Yield Prediction

(2014) Spyridon Mourtzinis et al.   AGRONOMY JOURNAL

Corn Grain and Stover Yield Prediction at R1 Growth Stage

(2013) Spyridon Mourtzinis et al.   AGRONOMY JOURNAL

High-throughput phenotyping early plant vigour of winter wheat

(2013) Sebastian Kipp et al.   EUROPEAN JOURNAL OF AGRONOMY

A multi-environmental study of recent breeding progress on nitrogen use efficiency in wheat (Triticum aestivum L.)

(2013) Fabien Cormier et al.   THEORETICAL AND APPLIED GENETICS

Genetic Yield Improvement in Soft Red Winter Wheat in the Eastern United States from 1919 to 2009

(2012) Andrew J. Green et al.   CROP SCIENCE

Identification of traits to improve the nitrogen-use efficiency of wheat genotypes

(2011) O. Gaju et al.   FIELD CROPS RESEARCH

Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)

(2010) Glenn Fitzgerald et al.   FIELD CROPS RESEARCH

Estimation of gross primary production in wheat from in situ measurements

(2010) Chaoyang Wu et al.   International Journal of Applied Earth Observation and Geoinformation

Variable nitrogen rate determination from plant spectral reflectance in soft red winter wheat

(2010) W. E. Thomason et al.   PRECISION AGRICULTURE

Active Ground Optical Remote Sensing for Improved Monitoring of Seedling Stress in Nurseries

(2010) Jan Eitel et al.   SENSORS

Identifying traits to improve the nitrogen economy of wheat: Recent advances and future prospects

(2009) M.J. Foulkes et al.   FIELD CROPS RESEARCH

Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

(2008) Chaoyang Wu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Signature Optical Cues: Emerging Technologies for Monitoring Plant Health

(2008) Oi Liew et al.   SENSORS