Assessing leaf nitrogen content and leaf mass per unit area of wheat in the field throughout plant cycle with a portable spectrometer

By M. Ecarnot, Frédéric Compan, P. Roumet. 2013

144 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/23b5d1c2d8122434c0c57b22a7fe0a60f6a8f740

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. Yangyang Fan
2. Lei Zhou
3. Osama Elsherbiny
4. Zhengjun Qiu

In Ecology

1. V. Sadras

In Plant Science

1. V. Sadras
2. G. Lemaire
3. Ignacio Antonio Ciampitti
4. Daniel Rodríguez
5. Tony Vyn
6. Fernando H. Andrade
7. G. Slafer

Citations in the corpus

• focal point review (2012, unknown): “Consequently, this technique represents a solution to the problem of finding a required rapid and nondestructive method that can be applied during plant-growing cycle.(97)”
• Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing (2019, methodology): “The leaf nitrogen content and leaf mass per unit area of wheat were also assessed using PLS regression technique (Ecarnot et al., 2013).”
• Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021, methodology): “, chlorophyll [80], nitrogen [37], relative water content [22], and leaf equivalent water thickness [81].”
• Quantifying crop nitrogen status for comparisons of agronomic practices and genotypes (2014, background): “33 Ekbladh and Witter (2010) Maize (C4) 3.”