Nitrogen Recommendations for Corn: An On-The-Go Sensor Compared with Current Recommendation Methods

By John P. Schmidt, Adam E. Dellinger, Doug B. Beegle. 2009

73 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/450b62393c086239a5cceab2295e2ae53d91add0

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. Lin-zhang Yang
2. L. Xue
3. Richard B. Ferguson
4. John F. Shanahan
5. Viacheslav I. Adamchuk

In Ecology

1. Lin-zhang Yang
2. Richard B. Ferguson
3. John F. Shanahan
4. Viacheslav I. Adamchuk
5. L. Xue

In Environmental Engineering

1. Richard B. Ferguson
2. John F. Shanahan
3. Viacheslav I. Adamchuk
4. Lin-zhang Yang
5. L. Xue

Citations in the corpus

• Topdressing nitrogen recommendation for early rice with an active sensor in south China (2014, methodology): “…that SI obtained with the active sensor provided as good or better indicator of EONR than presidedress nitrate test or SPADrelative (SPADcontrol/SPADreferences), which provides an opportunity to easily adjust in-season-N application spatially in maize (Schmidt et al. 2009; Schmidt et al. 2011).”
• An active sensor algorithm for corn nitrogen recommendations based on a chlorophyll meter algorithm. (2010, background): “, 2008), and these procedures showed potential for improving N management decisions for corn production over other approaches (Schmidt et al., 2009).”