Operating the Oklahoma State Univ. Ramp Mobile Analysis V2.0.

Slides:



Advertisements
Similar presentations
P3- Represent how data flows around a computer system
Advertisements

History of Predicting Yield Potential TEAM VRT Oklahoma State University TEAM VRT Oklahoma State University.
Use of sensor based nitrogen rates to improve maize nitrogen use efficiency in the Northern Argentinean Pampas. Ricardo Melchiori 1, Octavio Caviglia 1,
LogTag Training January 2015
INSTITUTO NACIONAL DE TECNOLOGIA AGROPECUARIA SECRETARIA DE AGRICULTURA, GANADERIA, PESCA Y ALIMENTACION "Wheat yield prediction by using an active sensor.
Sensor-based Nitrogen Application – Converting Research to Practicality Brent Rendel Rendel Farms Miami, Oklahoma.
May 6, Drought tolerant Miller ComparisonsEfawLCB Grain Yield (bu/ac) Drought tolerant vs. Non-drought tolerant Monsanto vs. Pioneer
O K L A H O M A S T A T E U N I V E R S I T Y Nitrogen Management for Wheat and Corn, What you Shouldn’t Do.
May 15,  Rates – current industry recommendations  Soil and Foliar Applied ◦ Boron, Chlorine, Copper, Zinc ◦ Calcium – Foliar only  NDVI, Soil,
Installing software on personal computer
Precision Agriculture in Europe Olga S. Walsh BIOEN/SOIL 4213 Spring 2007.
GreenSeekerTM Variable Rate Applicator Equipment and Applications
PN: TM rev:3 Administration Training. PN: TM rev:3 Course Overview Logging On Menu Screens »Edit Functions Options Configuration Users »View.
New Technology and Strategies for Nitrogen Management.
Ultralyte LRB Speed Gun Pocket Manual
Spatial Variability in Precision Agriculture What is it? What is it? – Precision n. The quality or state of being precise. Used or intended for precise.
Operating the Oklahoma State Univ. Ramp_Mobile_Analysis Program V.1.
From the START menu choose Microsoft Word. Once Microsoft Word opens choose FILE -> OPEN.
Ask the Expert Improve Yields and Make Money by Saving Inputs with GreenSeeker Products Daniel Rodriguez Russ Linhart.
GreenSeeker® Handheld Crop Sensor
Use of By-Plot CV’s for Refining Mid-Season Fertilizer N Rates Daryl Brian Arnall Plant and Soil Sciences Department Oklahoma State University.
Sensor-based Nitrogen Application – Converting Research to Practicality Brent Rendel Rendel Farms Miami, Oklahoma.
Eric C. Miller Jeremiah L. Mullock, Jacob T. Bushong, and William R. Raun NUE Conference Sioux Falls, SD August 5 th, 2014.
Getting Started with PDAs CALS PDA Initiative ALS 103.
 Several Sensor Based N Rate Calculations exist.  There are two distinct approaches to N rate calculations.  Use of Yield Prediction and Response 
Use of Alternative Concepts for Determining Preplant and Mid-Season N rates.
2013 NUE Conference Des Moines, Iowa August 5-7 Jacob T. Bushong.
Active-Crop Sensor Calibration Using the Virtual-Reference Concept K. H. Holland (Holland Scientific) J. S. Schepers (USDA-ARS, retired) 8 th ECPA Conference.
GreenSeeker Sensor Brian Arnall Precision Nutrient Management Plant and Soil Sciences Department Oklahoma State University.
Development of a SBNRC Calculator for Cotton D. Brian Arnall Oklahoma State University W. Raun, J. Solie, M. Stone, R. Taylor, O. Walsh, D. Edmonds, C.
Variable-Rate N Fertilization of Wheat and Corn in the Mid-Atlantic Variable-Rate N Fertilization of Wheat and Corn in the Mid-Atlantic Wade Thomason,
Automated Calibration Stamp Technology for Improved In-Season Nitrogen Fertilization K. Freeman, R. Teal, C. Mack, K. Martin, B. Arnall, K. Desta, J. Solie,
John SolieIvan Ortiz-Monasterio Bill RaunCIMMYT Marv Stone Oklahoma State University John SolieIvan Ortiz-Monasterio Bill RaunCIMMYT Marv Stone Oklahoma.
Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William.
No-till Oklahoma Optimizing Nitrogen Fertilizer Through Use of Optical Sensors Brian Arnall Oklahoma State University
Variable Rate Technology in Wheat
N Ramp Project Robbie Peterson Oklahoma State University Plant and Soil Sciences
Sensor Based Technologies in Mexico CIMMYT (Dr. Ivan Ortiz-Monasterio ) Oklahoma State University (Yumiko Kanke)
Three Alternative Nitrogen Management Strategies for Cereal Grain Production Brian Arnall Brian Arnall Plant and Soil Sciences Department Oklahoma State.
Nutrient Management: Ways to Save Money, From Simple to High Tech Brian Arnall Precision Nutrient Management Plant and Soil Sciences Department Oklahoma.
Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William.
NFOA for Wheat and Corn. Yield Potential Definitions INSEYIn Season Estimated Yield = NDVI (Feekes 4 to 6)/days from planting to sensing (days.
O K L A H O M A S T A T E U N I V E R S I T Y E VOLUTION OF N ITROGEN R EFERENCE S TRIPS.
Oklahoma State University Precision Agriculture / Soil Fertility / Soil Nutrient Management Why should Nitrogen Use Efficiencies be improved? What technologies.
Economics of Variable Applied Nitrogen Fertilizer By Brad W Collier.
Joshua ISD Technology Training. Word 2013 Opening Word 2013  Click the Start button  Enter “word” in the Search box  Click on the Word 2013 when it.
Using CVUSD Print Center Desktop Printer Chino Valley Unified School District.
Theory of Predicting Crop Response to Non-Limiting Nitrogen.
Drew Tucker and Dave Mengel KSU Agronomy An update on Kansas sensor based N recommendations.
How the adoption of the N-Rich Strip has changed N Management
Variable Rate Nitrogen
Nutrient Management: Ways to Save Money, From Simple to High Tech
Evaluation of the Yield Potential Based NFOA for Cotton
Sensor Algorithms.
Precision Sensing Extension Workshop January 8, 2008
EVOLUTION OF NITROGEN REFERENCE STRIPS
G. V. Johnson and W. R. Raun Dept. Plant & Soil Sciences
E.V. Lukina, K.W. Freeman,K.J. Wynn, W.E. Thomason, G.V. Johnson,
Predicting Yield Potential, 2007
Sensors and Fertility Management
History of Predicting Yield Potential
REVIEW.
Determining Nitrogen Application Rates with SBNRC and RAMP Calculator
Annual ASA Meeting, Indianapolis
Corn Algorithm Comparisons, NUE Workshop
Objective: To discuss the current regional project and identify improvements needed for conducting future collaborative sensor-based research.
Corn Algorithm Comparisons, NUE Workshop
Tastes Great. Less Filling
Calibration Stamp.
YP0 = (NDVI / Days, GDD>0) YP0 = INSEY YPN = (YP0*RI)
Presentation transcript:

Operating the Oklahoma State Univ. Ramp Mobile Analysis V2.0

Oklahoma State Univ. Ramp Mobile Analysis V2.0 Main Menu NRich Strip Analysis with the OSU Sensor Based NRich Strip Calculator (SBNRC) Ramp Analysis with the Ramp Analyzer and the Sensor Based NRich Strip Calculator English or Metric Units

Nitrogen Rate Calculation Options RAMP analysis only RAMP + Sensor Based Nitrogen Rate Calculator N Rich strip analysis using the Senor Based Nitrogen Rate Calculator (SBNRC)

Algorithm to Calculate N Rate with SBNRC 1 2 Predict RI Predict YP 0 Predict YP N based on RI Fertilizer N = (GNUP-FNUP)/ YP N <= YP MAX 2001

Idealized 16 Step Calibration Ramp NRich NDVI Field Rate NDVI Ramp Max or Upper Limit N Application Rate YP0 YPMax

Calculating N Rate Using the RAMP Ramp N Rates, lb/ac NDVI Determine Transition Curve Determine Plateau Optimum Fall Applied N Rate Calculating Topdress N Rate

Which Part of the Ramp Do We Measure? Sense Do Not Sense

Preliminaries Start Icon for Ramp Mobile Analysis program Found under Programs Ramp Configuration Files *.txt Found under My Device, My Documents, Ramp Config Files NTech Capture Sensed Ramp Files *.txt Store in My Device, My Documents, Ramp Sensed Files Analyzed Ramp Output Files *.txt Save in My Device, My Documents, Ramp Analyzed Files Keep your HP Ipaq computer battery charged. This program along with the Microsoft program “.Net 2 Compact Framework” are stored in RAM. If the battery runs down, you will need to download “.Net 2 Compact Framework” from Microsoft, copy and install “Ramp Mobile Analysis” from our website and recreate the file structure. There is a routine in the program to screen false triggers, but it will not screen out false triggers held longer than three seconds. “Algorithm Data Jan 08.csv” Found under My Device, My Documents, Ramp Config Files

Help, About the Program

Basic Instructions on How to Run the Calibration Ramp Analyzer Program Instructions are located under the Help, How to Run Pgrm menu commands Return to the main form.

Load or Create a Ramp Configuration File You will need to load a ramp confguration file before you can analyze the data with either the Ramp calculator or the Ramp & Sensor Based Nitrogen Rate Calculator (SBNRC). There are two OSU ramp configuration files loaded on your computer: a) the “ _Step Ramp.txt” for the 170 ft ramps and b) the “2006 8_Step Ramp.txt” file for the 90 ft long ramps. If you are sensing a ramp not created by the OSU ramp applicators you will need to create and save a ramp configuration file. This routine can be accessed through the RAMP + SBNRC analysis form.

Creating Ramp Configuration Files After entering the ramp step number and the step N Listing of ramp numbers and rates entered into the program After entering all of the values for the ramp steps, save the ramp configuration file. Saving the file will also load it into the prgram. You can return to the main form at any time If you are using a ramp not created by the OSU ramp applicators, you will need to use this form to create a ramp configuration file.

Field Settings – Required to Analyze N Rich Strips and Ramp Using the SBNRC Number of Growing Degree Days from planting to one day prior to the sensing date. GDD can be obtained from the “NUE.Okstate.edu” web site The farmer or land owner estimate of the maximum likely yield in bu/ac or kg/ha. Expected Nitrogen Use Efficiency at topdress. The default is 50%. The Preplant NUE is typically about 33 % Normally, do not change these values. Select crop algorithm from pull down menu The SBNRC applied to the NRich Strip also estimates the value of the crop with the N Rate computation as well as the gross return with and without fertilizer. Enter current grain and fertilizer prices You will be prompted to load the algorithm file. Select “AlogrithmData Jan 08.csv”

Ramp Analysis File Menu Prior to analyzing the data you must load an NTech Capture sensed ramp data file. After you have completed your analysis of each field, save the output file to your computer. You can load and analyze more than one field before exiting the Ramp_Mobile_Analyzer program. To return to the main menu select Return & SBNRC

Main Form – OSU Ramp Analysis Output Response Index =YP0 NDVI/ YPmax NDVI N Rate (lb/ac) calculated based on ramp NDVI measurements N Rate (lb/ac) calculated with SBNRC Analyze Button Field Rate NDVI NRich NDVI Yield (bu/ac or kg/ha) with no additional N calculated with SBNRC Yield (bu/ac or kg/ha) with topdress N calculated with SBNRC

Calibraton Ramp Analyzer Output