Aerial Color Infrared Photography for Determining Early In‐Season Nitrogen Requirements in Corn

By R. P. Sripada, R. Heiniger, J. G. White, A. D. Meijer. 2005

560 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/32d0811032d46ae6a35bf5fbbe545661f6e2bd4a

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. M. Brauer

In Ecology

1. Arnon Karnieli
2. Ittai Herrmann
3. David J. Bonfil
4. Jinru Xue
5. Yafit Cohen
6. Victor Alchanatis
7. Baofeng Su

In Environmental Engineering

1. T. Hartig
2. Jinru Xue
3. Yafit Cohen
4. Victor Alchanatis
5. Arnon Karnieli
6. Ittai Herrmann
7. Baofeng Su
8. David J. Bonfil

Citations in the corpus

• SWIR-based spectral indices for assessing nitrogen content in potato fields (2010, background): “The N loss by leaching and flowing can result in ground and surface water contamination (Levallois et al. 1998, Sripada et al. 2006, Jego et al. 2008, Li et al. 2008) as well as economic losses to the farmer due to the reduction in yields due to N deficiency (Haboudane et al. 2002).”
• Exploring pathways linking greenspace to health: Theoretical and methodological guidance (2017, background): “However, there are numerous other vegetation indices that might better be able to capture vegetation signals across different climates and built-up areas, such as the Green Ratio Vegetation Index (GRVI) (Sripada et al., 2006), Soil-Adjusted Vegetation Index (SAVI) (Huete, 1988) and Enhanced Vegetati”
• Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications (2017, result): “Other Apps using RGB photogrammetry to assess LAI have been later developed such as PoketLAI [33–35].”