Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts

By Daniel Rodríguez, Glenn J. Fitzgerald, R. Belford, L. Christensen. 2006

163 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/b2d9bd679cecbc47e7a7b2169d5a6655c560727f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Arnon Karnieli
2. Ittai Herrmann
3. David J. Bonfil

In Ecology

1. Arnon Karnieli
2. Ittai Herrmann
3. David J. Bonfil
4. Yafit Cohen
5. Victor Alchanatis

In Plant Science

1. Yafit Cohen
2. Victor Alchanatis
3. Arnon Karnieli
4. Ittai Herrmann
5. David J. Bonfil

Citations in the corpus

• Estimation of Total Nitrogen Content in Forage Maize (Zea mays L.) Using Spectral Indices: Analysis by Random Forest (2020, result): “[67]; though, our results match with those reported by Fitzgerald [68], that the CCCI_simpl index has limited importance in estimating the status of Nt and chlorophyll content in i r .”
• SWIR-based spectral indices for assessing nitrogen content in potato fields (2010, methodology): “The CCCI has been implemented for various crops, including cotton (Barnes et al. 2000, El-Shikha et al. 2008), broccoli (El-Shikha et al. 2007) and wheat (Fitzgerald et al. 2006, Rodriguez et al. 2006, Tilling et al. 2006, 2007).”