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Combine Yield Monitors

Combine Yield Monitors. Current Yield Monitors. Mass-flow sensor Volumetric-flow sensor Conveyor belt load sensor Trailer load sensor Torque transducer. Basics of Yield Monitoring. Possible Crops to Monitor Wheat and other grains Cotton Potato and Sugar Beets Beans Rice

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Combine Yield Monitors

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  1. Combine Yield Monitors

  2. Current Yield Monitors • Mass-flow sensor • Volumetric-flow sensor • Conveyor belt load sensor • Trailer load sensor • Torque transducer

  3. Basics of Yield Monitoring • Possible Crops to Monitor • Wheat and other grains • Cotton • Potato and Sugar Beets • Beans • Rice • Specialty Crops • Grapes, Tomatoes, Carrots, etc.

  4. Impulse Yield Sensors Micro Trak John Deere Case Ag Leader

  5. Impulse Flow Meter Force Vectors

  6. Dynamincs of an Impulse Flow Meter

  7. Non-Impulse Yield Sensors Nuclear - Massey Ferguson - Europe High Frequency Radio Waves New Holland - Not marketed

  8. Capacitance Moisture Sensors Micro Track John Deere Ag Leader Case

  9. Yield Mapping Trailer(Sugar Beet Harvest)

  10. Yield Mapping Trailer • Measures change in weight in the trailer while allowing for comparison at different times. • Can be used for any crop that is loaded into a trailer continuously while harvested.

  11. Conveyor Yield Monitor

  12. Corn Silage • The drive shaft of the base unit powering the cutterhead, feedrolls, and front attachment, are instrumented with strain gauge torque transducers. • Cutting power is linearly related to material feedrate. • Material flow can be expressed as: • Fr(t)=Yi(t)Sp(t)W

  13. Capacitance Moisture Sensors

  14. Sources of Yield Map Error • Unknown swath width • Time lag of grain through combine • GPS error • Multiple paths through combine • Surging of grain through combine • Grain losses • Sensor Calibration

  15. Sources of Impulse Yield Sensor Error • Grain Moisture • Grain Test Weight • Grain Temperature • Grain Cultivar • Grain Species • Contamination • Dirt • Plant oils, sap, etc.

  16. Effect of Lag Time on Combine Yield Measurements Crop Yield Along Swath Actual Grain Yield Yield t P t0 Yield Yield Monitor Measured Grain Yield P t

  17. Grain Flow Rate

  18. Comparison on Raw and Filtered Combine Flowrate Data

  19. Smoothing Effect of the Straw Walkers

  20. Yield Monitor 26.4 bu/ac Satellite Estimate 28.7 bu/ac Combine Yield Monitor and Satellite Estimated Wheat Yield Maps

  21. GPS Error in Corn – Loss of Differential Correction Signal Oklahoma Panhandle, 1998

  22. Two Combines in the Field with only One Equipped with GPS Oklahoma Panhandle, 1997

  23. Corn Yield Surface with Krieging Oklahoma Panhandle, 1997

  24. Corn Yield Surface with Krieging Oklahoma Panhandle, 1998

  25. Wheat Yield Under a Center Pivot Irrigation System Oklahoma Panhandle, 1998

  26. Wheat Yield Under a Center Pivot Irrigation System Oklahoma Panhandle, 1997

  27. Wheat Yield Under a Center Pivot Irrigation System Oklahoma Panhandle, 1997

  28. Wheat Yield Under a Center Pivot Irrigation System Oklahoma Panhandle, 1998

  29. Data Misaligned Because of the Lag in the Combine

  30. Error Caused by the Lag in the Combine

  31. Missing Data

  32. English Wheat Field - Single Soil Type

  33. Southwest Iowa Corn Field Yield Moisture

  34. AgLeader Cotton Yield Monitor Developed by John Wilkerson – University of Tennessee

  35. Peanut Yield Monitor University of Georgia

  36. 5 Class Krieg Lime Streaking Yield Map NDVI Map Lime Streaking not evident Courtesy of Tim Sharp Jackson State C.C.

  37. 5 Class Krieg NDVI surface With lime streaking Yield Surface With Lime Streaking Courtesy of Tim Sharp Jackson State C.C.

  38. Fertilizer Streaking 5 Class Krieg Spinner Applicator Yield Surface NDVI Surface Courtesy of Tim Sharp Jackson State C.C.

  39. Major Challenge • Correlate NDVI surface data with yield surface data Courtesy of Tim Sharp Jackson State C.C.

  40. Cotman Sample Points Low Medium High Courtesy of Tim Sharp Jackson State C.C.

  41. NDVI 5 Class Surface of Cotton Note Image of Surrounding Fields, they were Top-dressed with A spreader buggy By the grower Red is Bad Green is Good Severe Streaking Courtesy of Tim Sharp Jackson State C.C.

  42. Green, Red, NIR image Composite 5 Class NDVI with Fertilizer streaking Courtesy of Tim Sharp Jackson State C.C.

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