Combine Yield Monitors

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Presentation transcript:

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 Specialty Crops Grapes, Tomatoes, Carrots, etc.

Impulse Yield Sensors Micro Trak John Deere Case Ag Leader

Impulse Flow Meter Force Vectors

Dynamincs of an Impulse Flow Meter

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

Capacitance Moisture Sensors Micro Track John Deere Ag Leader Case

Capacitance Moisture Sensors

Yield Mapping Trailer (Sugar Beet Harvest)

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.

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

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

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

Smoothing Effect of the Straw Walkers

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

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

Corn Yield Surface with Krieging Oklahoma Panhandle, 1997

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

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

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

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

Data Misaligned Because of the Lag in the Combine

Error Caused by the Lag in the Combine

Missing Data

Peanut Yield Monitor University of Georgia

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

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

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

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

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