Growth Stage, Development, and Spatial Variability in Corn Evaluated Using Optical Sensor Readings

By W. Raun, J. Solie, K. Martin, K. Freeman, Marvin L. Stone, Gordon V. Johnson, R. Mullen. 2005

71 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/8cffafbe7dfdee632b9b947fbc041bc241132942

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

1. W. Raun
2. J. Solie
3. Marvin L. Stone
4. Quirine M. Ketterings
5. Aristotelis C. Tagarakis
6. Daryl Brian Arnall
7. James S. Schepers
8. J. Goffart

In Plant Science

1. W. Raun
2. J. Solie
3. Marvin L. Stone
4. Aristotelis C. Tagarakis
5. Quirine M. Ketterings
6. Daryl Brian Arnall
7. Brenda S. Tubana
8. O. Walsh

Citations in the corpus

• Expression of Variability in Corn as Influenced by Growth Stage Using Optical Sensor Measurements (2007, result): “The study conducted by Raun et al. (2005) took place in Texcoco, Mexico.”
• Optical Sensor‐Based Algorithm for Crop Nitrogen Fertilization (2005, background): “…Maize and Wheat Improvement Center (CIMMYT) suggested that the use of within row CV’s in corn could be used to detect the physiological growth stage when expressed spatial variability was the greatest from readings collected on a daily basis throughout the growth cycle (Raun et al., 2005).”
• In-Season Estimation of Corn Yield Potential Using Proximal Sensing (2017, background): “Raun et al. (2005a) suggested that the best time for sensing and to apply in-season N fertilizer was when the variability of the NDVI measurements was maximized stating that treating crops at maximum variability is expected to have the greatest impact.”