Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes
By V. S. Weber, Jose Luis Araus, Jill E. Cairns, C. Sánchez, A. Melchinger, E. Orsini. 2012
176 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/54d89d5ee6fda38ba98812c13b9bd020c5ce5a54
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
In Ecology
In Plant Science
- S. Negrão
- Sandra M. Schmöckel
- Urs Schmidhalter
- Mark A. Tester
- Pablo Rischbeck
- Bodo Mistele
- Kurt Heil
- Salah Elsayed
Citations in the corpus
- Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016, methodology): “Weber et al. (2012) rec- mmended combining data from different years to gain broader alibration.”
- Evaluating physiological responses of plants to salinity stress (2016, background): “Few systems to date have evaluated mature plants, as this is preferentially done in the field, such as reported by Weber et al. (2012) and reviewed by Araus and Cairns (2014).”