Estimating N status of winter wheat using a handheld spectrometer in the North China Plain

By Fei Li, M. Gnyp, L. Jia, Y. Miao, Zihui Yu, W. Koppe, Georg Bareth, Xin-ping Chen, Fusuo Zhang. 2008

123 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/31ed5a17293e0c58a471792c372d0775272f3e7e

How researchers see this paper

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

In Ecology

1. Xin-ping Chen
2. Bodo Mistele
3. Urs Schmidhalter
4. Georg Bareth

In Environmental Engineering

1. Xin-ping Chen
2. Bodo Mistele
3. Urs Schmidhalter

In Plant Science

1. Xin-ping Chen
2. Pablo Rischbeck
3. Bodo Mistele
4. Urs Schmidhalter
5. Georg Bareth
6. Kurt Heil
7. Salah Elsayed
8. Gero Barmeier

Citations in the corpus

• Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016, methodology): “Thus, the relative root mean square error (rRMSE) was calculated by dividing the RMSE by the standard deviation of yield (as previously described in Li et al. (2008).”
• Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages (2010, methodology): “…N status focused on leaf N concentration or accumulation (Hansen and Schjoerring 2003; Oppelt and Mauser 2004) and were conducted in a heated glasshouse (Yoder et al. 1995), under controlled experimental conditions (Feng et al. 2008), or used only broad band vegetation indices (Li et al. 2008).”