Comprehensive information on Nitrogen Use Efficiency for cereal crop productionPrecision Sensing Extension Workshop, January 8, 2008
  Improved Fertilizer Nitrogen Recommendations for Cereal Crops in Africa
Oklahoma State University
, Daniel Edmonds, Cody Daft
CIMMYT Contact, Pat Wall
DAY 1  
8:30-9:00 Nitrogen Use Efficiency in Sub Saharan Africa

Preplant versus Sidedress N

RAMP Presentation

9:00-10:00 1. What the CIMMYT-OSU System can do to improve N Use; Overview of the Entire System
2. Yield Potential, Trials to Predict YP0


10:30-11:30 On Line Tool, The Sensor Based Nitrogen Rate Calculator (SBNRC) for Improved N Fertilizer Recommendations

Web Based Calculation of Whole Field Topdress N Rates, Differences between treating temporal and spatial variability
  Operation and USE of Sensor Based Technology (Do's and Don'ts)
11:30-12:00 Future of Improved N Fertilizer Recommendations: Plant height, New applicators, Application of CV
12:00-13:00 Field Training on the Use of Hand-Held Sensor, Use of Load UP Files and SBNRC
13:00-14:00 LUNCH
14:00-15:00 Data Interpretation, added Examples for On-Line Algorithms
    *Use of IPAQ Program for N Rate Recommendations
Alternative uses of the GreenSeeker sensors (plant breeding, biomass, etc.)
  SUMMARY: Getting Farmers to Adopt; Importance of Visual Interpretative Tools for our Growers
16:30 Added Issues  
  Discussion on the use of hand held sensor with the IPAQ, problems, etc.
OPEN for Questions and INPUT
  Communication with VRT Equipment

Library of Yield Prediction Equations

NEED for environment and crop specific YIELD PREDICTION EQUATIONS


  Use of Sensing Technologies for Forage Yield Prediction in Wheat
  Discussion to identify problems and potential improvements
  What did the Check Plots Yield?
  Cookbook for generating environment and crop specific yield prediction equations

1. Spatial Variability in Precision Agriculture

2. Resolution Determination,

3. History of Indirect Measures,

4. Descriptive Statistics

5. History of Predicting Yield Potential, N Response and N Rates

6. GIS,

7. Sampling Strategies

8. Remote Sensing

9. Satellite Management