Yield Editor 2.0 - University of Missouri Extension

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Transcript Yield Editor 2.0 - University of Missouri Extension

YIELD EDITOR 2.0

YIELD MAPS MADE EASY

Ken Sudduth, Scott Drummond, and Brent Myers USDA-ARS Cropping Systems and Water Quality Research Unit Columbia, MO

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

From Sensors to Yield Maps

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Why clean yield data?

 Yield data ALWAYS contain problems  Operational problems  Data collection errors  Calibration issues  Sensor system related problems  Sensor failure, noise, accuracy issues  Timing/filtering issues for individual sensors  Multiple sensors can magnify problems

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Basic yield calculation Yield

k

MC Width

 

Flow Velocity

 where

k

is used to account for unit conversion factors, and MC is a moisture correction factor based upon a crop specific market reference.

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Rapid change in velocity

Corn Yield (bu/ac) 174 to 2963 165 to 174 153 to 165 145 to 153 138 to 145 132 to 138 126 to 132 120 to 126 113 to 120 6 to 113

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Unknown swath width

Soybean Yield (bu/ac) 29 to 54 28 to 29 26 to 28 25 to 26 25 to 25 24 to 25 23 to 24 22 to 23 18 to 22 0 to 18

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Yield calculation with latency Yield(

t

)

k

MC(

t

i

)

Flow(

t

j

Width(

t

)

Velocity(

t

) )

 where  

i

= time for grain to reach moisture sensor

j

= time for grain to reach grain flow sensor

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Incorrect delay time(s)

Delay Time = 14 s Delay Time = 9 s Corn Yield (bu/ac) 124 to 180 110 to 124 101 to 110 95 to 101 89 to 95 83 to 89 76 to 83 68 to 76 52 to 68 30 to 52

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Ramping at crop edge

No edge treatment Edge cleaned Corn Yield (bu/ac) 124 to 207 110 to 124 102 to 110 95 to 102 90 to 95 84 to 90 77 to 84 69 to 77 55 to 69 1 to 55

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Ramping at crop edge

Kriged No edge treatment Kriged Edge cleaned Difference (bu/ac) 150 140 130 120 110 100 40 30 20 10 90 80 70 60 50 Mean = 106.4

STD = 32.3

Mean = 108.1

STD = 31.7

>10% affected by more than 5 bu/ac

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO 55 50 45 40 35 10 5 0 -5 30 25 20 15

Dealing with yield map errors

     All yield maps contain some errors that should be removed before analysis Manufacturers’ software does a good job of dealing with many simpler problems They have a tougher time with “trial-and-error” type settings (i.e. delay time – set, view, adjust) Manual editing (point, transect, area, etc.) must be done elsewhere (generally in a GIS) A software package was needed that provided all of these tools in one place

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Yield Editor

version 1.0, developed 2003  Yield Editor has been widely used by farmers, students, researchers, consultants, and others  Total downloads of the software are now well over 3000

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Yield Editor

version 2.0

 In 2010 we began developing a new version of Yield Editor that would automate more of the yield data cleaning process  Delay time  Overlapped travel at end rows and partial swaths  Unrealistic point yield values  “Smart” thresholds for other filtering parameters  Batch mode operation

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Yield Editor

version 2.0

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Automated yield cleaning expert (AYCE)

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Delay time determination

Using relative spatial consistency Lee, D. H., K. A. Sudduth, S. T. Drummond, S. O. Chung, and D. B. Myers. 2012. Automated yield map delay identification using phase correlation methodology. Trans. ASABE 55(3): 743-752.

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Han’s bitmap overlap filter

Han, S., S.M. Schneider, S.L. Rawlins, and R.G. Evans. 1997. A bitmap method for determining effective combine cut width in yield mapping. Trans. ASAE 40(2): 485-490.

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Localized standard deviation filter

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO

Summary

 The new Yield Editor 2.0 automates many common yield cleaning tasks  Features from Yield Editor 1.0 are all still available, in addition to a host of new automated features  Currently available for web download – just do a web search for “Yield Editor 2”  We encourage interested users to try it and give us feedback

Translating Missouri USDA-ARS Research and Technology into Practice

A training session provided by USDA-ARS-CSWQRU, 10-11 October 2012, Columbia, MO