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YIELD EDITOR BETTER DATA, FASTER Scott Drummond and Ken Sudduth USDA-ARS Cropping Systems and Water Quality Research Unit Columbia, MO

YIELD EDITOR BETTER DATA, FASTER

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YIELD EDITORBETTER DATA, FASTER

Scott Drummond and Ken SudduthUSDA-ARS Cropping Systems and Water Quality Research UnitColumbia, MO

From Sensors to Yield Maps

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 sensorsMultiple sensors can magnify problems

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

Incorrect delay time(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

Delay Time = 9 s Delay Time = 14 s

Ramping at crop edge

-50 0 50 100 150 200Time from Crop Edge (s)

0

4

8

12

16Gr

ain

Flow

Rat

e (lb

/s)

Entering CropExiting CropHeader Up/Down

11 Second Shift Applied

Ramping at crop edge

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

No edge treatment Edge cleaned

Ramping at crop edgeKriged

No edge treatmentKriged

Edge cleanedDifference

(bu/ac)

Mean = 106.4STD = 32.3

Mean = 108.1STD = 31.7

>10% affected bymore than 5 bu/ac

-5

0

5

10

15

20

25

30

35

40

45

50

55

10

20

30

40

50

60

70

80

90

100

110

120

130

140

150

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

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

Yield Editorversion 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 5000

Yield Editorversion 2.0

In 2010 we began developing a new version of Yield Editor that would automate more of the yield data cleaning process Automated delay time determination Overlapped travel and partial swaths removed Unrealistic localized yield values removed “Smart” selection of existing filter parameters Batch mode operation Currently over 11,000 total downloads

Yield Editorversion 2.0

Automated yield cleaning expert (AYCE)

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.

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.

Localized standard deviation filter

Localized STD Filter Settings:Grid Cell = 5 Header WidthsLimit = 3 Standard Deviations

Cell Results:Mean = 165 STD = 15Retain 120-210 in this cellCyan points removed

Crop Yield 31 58 86 113 141 168 196 223 Cell Results:

Mean = 172 STD = 9Retain 145-199 in this cellNo points removed

Summary

Yield data contains large numbers of errors. These errors will affect your precision management. Yield Editor 2.0 can automate many common yield

cleaning tasks Having a way to document changes and retain the

original data is important.