FFT-based test of a yield monitor circuit

2002 ◽  
Author(s):  
C. Thibeault ◽  
A. Payeur
Keyword(s):  
Yield Monitor

DEVELOPMENT AND TESTING OF A CITRUS YIELD MONITOR

2002 ◽  
Vol 18 (4) ◽  
Author(s):  
S. D. Tumbo ◽  
J. D. Whitney ◽  
W. M. Miller ◽  
T. A. Wheaton
Keyword(s):  
Yield Monitor

scholarly journals A Note on the Application of an AgLeader® Cotton Yield Monitor for Measuring Peanut Yield: An Investigation in Two US states.

2020 ◽  
Vol 47 (2) ◽  
pp. 115-122
Author(s):  
W.M. Porter ◽  
J. Ward ◽  
R.K. Taylor ◽  
C.B. Godsey
Keyword(s):  
Soil Conditions ◽  
State University ◽  
Yield Estimation ◽  
Yield Monitor ◽  
University Of Georgia ◽  
High Data ◽  
Data Validity ◽  
Deflector Plate ◽  
The University ◽  
Multiple Field

ABSTRACT Previous researchers demonstrated the ability to adapt an AgLeader® Cotton Monitor to a peanut combine. It was demonstrated that the field weight could be accurately predicted with average errors of less than 10% across all trials when at least five calibration loads are applied. This project focused on expanding previous work performed at the University of Georgia and other peanut optical yield monitor work by incorporating a protective deflector plate for the sensors, obtaining multiple field weights, and using the peanut sale sheets to correlate yield monitor yield to sale weight. This study was a two-university, two-state effort, including Oklahoma State University (Oklahoma), and Mississippi State University (Mississippi). Data collected during this study included multiple loads which included yield monitor weight, field weight, field moisture content, and all the information presented on the standard USDA peanut grade sheet, when available. The multi-state effort allowed for the incorporation of the two major peanut types and for the incorporation of different soil types. The goal of this study was to develop guidelines for using, calibrating, and adapting the AgLeader® Cotton Monitor for peanut harvest. Five calibration loads referenced to buy-point net weight were typically needed to bring error within acceptable limits. Results indicated that multiple local calibrations were needed to ensure high data validity and yield estimation across multiple harvest environments. The data showed that peanut type (virginia, runner and spanish) and variable soil conditions impacted yield estimation.

Improved in situ calibration technique for ITER ex-vessel neutron yield monitor

2006 ◽  
Vol 81 (8-14) ◽  
pp. 1497-1502 ◽  
Author(s):  
K. Asai ◽  
T. Iguchi ◽  
T. Nishitani ◽  
C.I. Walker ◽  
J. Kawarabayashi ◽  
...  
Keyword(s):  
Neutron Yield ◽  
Calibration Technique ◽  
Yield Monitor ◽  
In Situ Calibration

Optical Peanut Yield Monitor: Development and Testing

2006 ◽  
Vol 22 (6) ◽  
pp. 809-818 ◽  
Author(s):  
J. A. Thomasson ◽  
R. Sui ◽  
G. C. Wright ◽  
A. J. Robson
Keyword(s):  
Yield Monitor

Screening Yield Monitor Data Improves Grain Yield Maps

2004 ◽  
Vol 96 (4) ◽  
pp. 1091-1102 ◽  
Author(s):  
G. C. Simbahan ◽  
A. Dobermann ◽  
J. L. Ping
Keyword(s):  
Grain Yield ◽  
Yield Monitor ◽  
Monitor Data

Relationship Between Yield Monitor and Remotely Sensed Data for Corn

2002 ◽  
Author(s):  
Kenan Diker ◽  
Dale F. Heermann ◽  
Walter C. Bausch ◽  
David K. Wright
Keyword(s):  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Yield Monitor
Sign in / Sign up

Export Citation Format

Share Document