Hyperspectral Indices, Correlation and Regression Models for Estimating Growth Parameters of Wheat Genotypes

Spatial interpretation of plant parameters in winter wheat

(2013) F. Rodriguez-Moreno et al.   PRECISION AGRICULTURE

Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat

(2011) Nathalie Vigneau et al.   FIELD CROPS RESEARCH

Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content

(2011) Jan G. P. W. Clevers et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Improving Nitrogen Use Efficiency in Crops for Sustainable Agriculture

(2011) Bertrand Hirel et al.   Sustainability

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

Study of the optimum time span for distinguishing Avena ludoviciana from wheat crop based on their spectral reflectance characteristics

(2010) R. Kaur et al.   Journal of the Indian Society of Remote Sensing

Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice

(2007) Yan Zhu et al.   International Journal of Applied Earth Observation and Geoinformation