Data filtering and correction techniques for generating yield maps from multiple-combine harvesting systems

S. A. Shearer; S. G. Higgins; S. G. McNeill; G. A. Watkins; R. I. Barnhisel; J. C. Doyle; J. H. Leach; J. P. Fulton

Data filtering and correction techniques for generating yield maps from multiple-combine harvesting systems

S. A. Shearer, S. G. Higgins, S. G. McNeill, G. A. Watkins, R. I. Barnhisel, J. C. Doyle, J. H. Leach, J. P. Fulton

Biosystems and Agricultural Engineering

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

Generation of yield maps from data obtained from multiple-combine harvest systems reflect variations that may be a result of calibration practices or operator influence. Post-processing of the data enabled the generation of yield maps where the influence of calibrations practices, operator technique, and the nature of the sensing methodologies were minimized. A systematic approach is proposed to eliminate suspect data, and scale the parameters of interest from each combine to match scaled weights of grain leaving the field. Data from four combines operated in a Central Kentucky field during the 1997 wheat harvest are presented.

Original language	English
Journal	Paper - American Society of Agricultural Engineers
Volume	1
State	Published - 1997
Event	Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3) - Minneapolis, MN, USA Duration: Aug 10 1997 → Aug 14 1997

ASJC Scopus subject areas

Agricultural and Biological Sciences (miscellaneous)

Cite this

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title = "Data filtering and correction techniques for generating yield maps from multiple-combine harvesting systems",

abstract = "Generation of yield maps from data obtained from multiple-combine harvest systems reflect variations that may be a result of calibration practices or operator influence. Post-processing of the data enabled the generation of yield maps where the influence of calibrations practices, operator technique, and the nature of the sensing methodologies were minimized. A systematic approach is proposed to eliminate suspect data, and scale the parameters of interest from each combine to match scaled weights of grain leaving the field. Data from four combines operated in a Central Kentucky field during the 1997 wheat harvest are presented.",

author = "Shearer, {S. A.} and Higgins, {S. G.} and McNeill, {S. G.} and Watkins, {G. A.} and Barnhisel, {R. I.} and Doyle, {J. C.} and Leach, {J. H.} and Fulton, {J. P.}",

year = "1997",

language = "English",

volume = "1",

note = "Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3) ; Conference date: 10-08-1997 Through 14-08-1997",

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TY - JOUR

T1 - Data filtering and correction techniques for generating yield maps from multiple-combine harvesting systems

AU - Shearer, S. A.

AU - Higgins, S. G.

AU - McNeill, S. G.

AU - Watkins, G. A.

AU - Barnhisel, R. I.

AU - Doyle, J. C.

AU - Leach, J. H.

AU - Fulton, J. P.

PY - 1997

Y1 - 1997

N2 - Generation of yield maps from data obtained from multiple-combine harvest systems reflect variations that may be a result of calibration practices or operator influence. Post-processing of the data enabled the generation of yield maps where the influence of calibrations practices, operator technique, and the nature of the sensing methodologies were minimized. A systematic approach is proposed to eliminate suspect data, and scale the parameters of interest from each combine to match scaled weights of grain leaving the field. Data from four combines operated in a Central Kentucky field during the 1997 wheat harvest are presented.

AB - Generation of yield maps from data obtained from multiple-combine harvest systems reflect variations that may be a result of calibration practices or operator influence. Post-processing of the data enabled the generation of yield maps where the influence of calibrations practices, operator technique, and the nature of the sensing methodologies were minimized. A systematic approach is proposed to eliminate suspect data, and scale the parameters of interest from each combine to match scaled weights of grain leaving the field. Data from four combines operated in a Central Kentucky field during the 1997 wheat harvest are presented.

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UR - http://www.scopus.com/inward/citedby.url?scp=0031363937&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0031363937

VL - 1

T2 - Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3)

Y2 - 10 August 1997 through 14 August 1997

ER -

Data filtering and correction techniques for generating yield maps from multiple-combine harvesting systems

Abstract

ASJC Scopus subject areas

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