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Combine Yield Monitors
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Current Yield Monitors
Mass-flow sensor Volumetric-flow sensor Conveyor belt load sensor Trailer load sensor Torque transducer
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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.
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Impulse Yield Sensors Micro Trak John Deere Case Ag Leader
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Impulse Flow Meter Force Vectors
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Dynamincs of an Impulse Flow Meter
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Non-Impulse Yield Sensors
Nuclear - Massey Ferguson - Europe High Frequency Radio Waves New Holland - Not marketed
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Capacitance Moisture Sensors
Micro Track John Deere Ag Leader Case
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Capacitance Moisture Sensors
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Yield Mapping Trailer (Sugar Beet Harvest)
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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.
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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
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Sources of Impulse Yield Sensor Error
Grain Moisture Grain Test Weight Grain Temperature Grain Cultivar Grain Species Contamination Dirt Plant oils, sap, etc.
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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
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Smoothing Effect of the Straw Walkers
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Combine Yield Monitor and Satellite Estimated Wheat Yield Maps
Yield Monitor 26.4 bu/ac Satellite Estimate 28.7 bu/ac
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Two Combines in the Field with only One Equipped with GPS
Oklahoma Panhandle, 1997
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Corn Yield Surface with Krieging
Oklahoma Panhandle, 1997
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Wheat Yield Under a Center Pivot Irrigation System
Oklahoma Panhandle, 1998
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Wheat Yield Under a Center Pivot Irrigation System
Oklahoma Panhandle, 1997
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Wheat Yield Under a Center Pivot Irrigation System
Oklahoma Panhandle, 1997
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Wheat Yield Under a Center Pivot Irrigation System
Oklahoma Panhandle, 1998
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Data Misaligned Because of the Lag in the Combine
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Error Caused by the Lag in the Combine
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Missing Data
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Peanut Yield Monitor University of Georgia
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AgLeader Cotton Yield Monitor
Developed by John Wilkerson – University of Tennessee
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5 Class Krieg NDVI surface Yield Surface With lime streaking
Courtesy of Tim Sharp Jackson State C.C.
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Fertilizer Streaking 5 Class Krieg Spinner Applicator Yield Surface
NDVI Surface Courtesy of Tim Sharp Jackson State C.C.
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Major Challenge Correlate NDVI surface data with yield surface data
Courtesy of Tim Sharp Jackson State C.C.
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Cotman Sample Points Low Medium High
Courtesy of Tim Sharp Jackson State C.C.
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