83816 Adapt-N: Precision Nitrogen Management In Corn Production Using Models and Weather Data.

Poster Number 48

See more from this Division: Poster
See more from this Session: Nitrogen Use Efficiency Poster Session
Tuesday, August 13, 2013
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Harold M. van Es, Jeff J. Melkonian and Bianca Nadine Moebius-Clune, Crop and Soil Sciences, Cornell University, Ithaca, NY
Nitrogen management in maize production is often imprecise and inefficient in humid regions due to dynamic, complex and locally-specific interactions among weather, soil and management factors.    Adapt-N focuses on real-time optimization using high resolution weather data and relies on information related to the management of the corn crop, soil properties, rotations, tillage, irrigation, fertilizer management, and manuring.  It is a web-accessible server-based tool that is also mobile enabled.  Adapt-N has shown good predictability for estimating optimum N sidedress rates and has low cost to the producer. It can offer a good estimates for a field’s N needs, and also allows for initial tuning of the sensor-based algorithms and setting the range of N rates for fields, thereby potentially increasing the precision of N sensors.    The tool has been extensively tested through strip trials (n-84) in the Northeast and Midwest and proven to improve N use efficiency, reduce environmental losses, and increase grower profits.
See more from this Division: Poster
See more from this Session: Nitrogen Use Efficiency Poster Session