Location: Cropping Systems and Water Quality Research
Title: Automation of yield-based management decisionsAuthor
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Sudduth, Kenneth - Ken |
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Drummond, Scott |
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LONG, DAN - Retired ARS Employee |
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Vigil, Merle |
Submitted to: ASABE Annual International Meeting
Publication Type: Abstract Only Publication Acceptance Date: 6/26/2020 Publication Date: 7/13/2020 Citation: Sudduth, K.A., Drummond, S.T., Long, D., Vigil, M.F. 2020. Automation of yield-based management decisions [abstract]. ASABE Annual International Virtual Meeting, July 13-15, 2020. Interpretive Summary: Technical Abstract: Yield maps provide important information for developing and evaluating precision management strategies. The high-quality yield maps needed for decision-making require screening raw yield monitor datasets for errors and removing those errors before maps are made. The "Yield Editor" software we previously developed for this task is currently used worldwide. In this paper, we describe new software that combines the functionality of Yield Editor with the ability to create prescription maps based on yield and other data layers. Use of the new software is illustrated by the creation of nitrogen application maps for dryland wheat production based on yield and data from an on-combine grain protein sensor. |