Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center

Abstract High‐quality, gridded maps of crop yield, which discern the spatial variability in productivity across individual farm fields, are extremely valuable in numerous agricultural and remote sensing applications. The availability of these data was greatly facilitated by the development and adopt...

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Main Authors: Wayne P. Dulaney, Martha C. Anderson, Feng Gao, Alan Stern, Glenn Moglen, George Meyers, Craig S. T. Daughtry, William White, Uvirkaa Akumaga, Jennifer Showalter
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Agrosystems, Geosciences & Environment
Online Access:https://doi.org/10.1002/agg2.20474
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author Wayne P. Dulaney
Martha C. Anderson
Feng Gao
Alan Stern
Glenn Moglen
George Meyers
Craig S. T. Daughtry
William White
Uvirkaa Akumaga
Jennifer Showalter
author_facet Wayne P. Dulaney
Martha C. Anderson
Feng Gao
Alan Stern
Glenn Moglen
George Meyers
Craig S. T. Daughtry
William White
Uvirkaa Akumaga
Jennifer Showalter
author_sort Wayne P. Dulaney
collection DOAJ
description Abstract High‐quality, gridded maps of crop yield, which discern the spatial variability in productivity across individual farm fields, are extremely valuable in numerous agricultural and remote sensing applications. The availability of these data was greatly facilitated by the development and adoption of grain yield monitors starting in the early 1990s. However, the utility of raw yield monitor data is limited if additional processing has not been carried out to ensure data quality. In addition, a readily accessible data repository that allows for examining long‐term yield variability in response to climate and management is often not available. We present a protocol for producing a multi‐year (7 years currently processed), gridded yield data archive derived from yield monitor data acquired from over 40 production fields at the Beltsville Agricultural Research Center (BARC) in Beltsville, MD. Production of the archive involved the projection of the yield monitor data into a geographic coordinate system suitable for mapping, the identification and removal of data outliers, and the production of gridded, spatially interpolated yield maps using block Kriging. All map products were produced in common, nonproprietary file formats for easy access. Preliminary assessments of the processed yield monitor data have underscored the necessity of data filtering and have shown the influence of previous land use practices and biophysical properties, such as topography and soil moisture availability, on yield response. We discuss the use of spatially interpolated, archival yield maps in the implementation of precision farming techniques such as the development of site‐specific variable rate prescriptions as well as remote sensing applications, including the selection of field sites for long‐term agricultural experiments and the assessment of crop modeling approaches. The gridded yield data archive will be housed at the National Agricultural Library as a dynamic dataset that will continue to expand in breadth and depth. It will be a part of and provide support to internal USDA yield monitoring investigations as well as complementary external efforts. All geospatial data delivered to NAL will adhere to the ISO 19115 Geospatial Metadata Standards to provide the user with a full understanding of the yield monitor and associated datasets.
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spelling doaj.art-0883368127b0435c8debce18adedadd52024-03-18T05:28:33ZengWileyAgrosystems, Geosciences & Environment2639-66962024-03-0171n/an/a10.1002/agg2.20474Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research CenterWayne P. Dulaney0Martha C. Anderson1Feng Gao2Alan Stern3Glenn Moglen4George Meyers5Craig S. T. Daughtry6William White7Uvirkaa Akumaga8Jennifer Showalter9USDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Research Support Services Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Hydrology and Remote Sensing Laboratory Beltsville Maryland USAUSDA‐ARS, Research Support Services Beltsville Maryland USAAbstract High‐quality, gridded maps of crop yield, which discern the spatial variability in productivity across individual farm fields, are extremely valuable in numerous agricultural and remote sensing applications. The availability of these data was greatly facilitated by the development and adoption of grain yield monitors starting in the early 1990s. However, the utility of raw yield monitor data is limited if additional processing has not been carried out to ensure data quality. In addition, a readily accessible data repository that allows for examining long‐term yield variability in response to climate and management is often not available. We present a protocol for producing a multi‐year (7 years currently processed), gridded yield data archive derived from yield monitor data acquired from over 40 production fields at the Beltsville Agricultural Research Center (BARC) in Beltsville, MD. Production of the archive involved the projection of the yield monitor data into a geographic coordinate system suitable for mapping, the identification and removal of data outliers, and the production of gridded, spatially interpolated yield maps using block Kriging. All map products were produced in common, nonproprietary file formats for easy access. Preliminary assessments of the processed yield monitor data have underscored the necessity of data filtering and have shown the influence of previous land use practices and biophysical properties, such as topography and soil moisture availability, on yield response. We discuss the use of spatially interpolated, archival yield maps in the implementation of precision farming techniques such as the development of site‐specific variable rate prescriptions as well as remote sensing applications, including the selection of field sites for long‐term agricultural experiments and the assessment of crop modeling approaches. The gridded yield data archive will be housed at the National Agricultural Library as a dynamic dataset that will continue to expand in breadth and depth. It will be a part of and provide support to internal USDA yield monitoring investigations as well as complementary external efforts. All geospatial data delivered to NAL will adhere to the ISO 19115 Geospatial Metadata Standards to provide the user with a full understanding of the yield monitor and associated datasets.https://doi.org/10.1002/agg2.20474
spellingShingle Wayne P. Dulaney
Martha C. Anderson
Feng Gao
Alan Stern
Glenn Moglen
George Meyers
Craig S. T. Daughtry
William White
Uvirkaa Akumaga
Jennifer Showalter
Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center
Agrosystems, Geosciences & Environment
title Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center
title_full Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center
title_fullStr Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center
title_full_unstemmed Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center
title_short Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center
title_sort development of a gridded yield data archive for farm management and research at the usda beltsville agricultural research center
url https://doi.org/10.1002/agg2.20474
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