 Precision
Sensing Extension Workshop, January 8, 2008
Zimbabwe |
|
|
|
|
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 |
15:30-16:30
|
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 |
|
ADDED REFERENCES |
|
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 |
|
|