Original paper: Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean
By J. Vollmann, H. Walter, T. Sato, P. Schweiger. 2011
117 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/20d1016f44983d8b562cbc9d74360ee6026d659d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- H. D. Upadhyaya
- S. Dwivedi
- G. Kaschuk
- K. Sahrawat
- Rodomiro Ortiz
- A. Mengoni
- M. Hungria
- Marco Galardini
Citations in the corpus
- A novel method for the estimation of soybean chlorophyll content using a smartphone and image analysis (2016, methodology): “Vollmann et al. (2011) analyzed the state of nodulation and soybean Chl content with the use of SPAD and digital image analysis.”
- Advances in Host Plant and Rhizobium Genomics to Enhance Symbiotic Nitrogen Fixation in Grain Legumes (2015, methodology): “Using a Minolta SPAD spectrometer in parallel with a leaf digital image analysis procedure based on a commercially available still camera, Vollmann et al. (2011) phenotyped a large number of soybean breeding lines including near-isogenic families, grown in the field across three seasons, for leaf…”