Delineating productivity zones on claypan soil fields using apparent soil electrical conductivity

  • Authors:

  • N. R. Kitchen;K. A. Sudduth;D. B. Myers;S. T. Drummond;S. Y. Hong

  • Affiliations:

  • USDA Agricultural Research Service, Cropping Systems and Water Quality Research Unit, 269 Agricultural Engineering Building, University of Missouri, Columbia, MO 65211, USA;USDA Agricultural Research Service, Cropping Systems and Water Quality Research Unit, 269 Agricultural Engineering Building, University of Missouri, Columbia, MO 65211, USA;Soils Department, University of Missouri, Columbia, MO 65211, USA;USDA Agricultural Research Service, Cropping Systems and Water Quality Research Unit, 269 Agricultural Engineering Building, University of Missouri, Columbia, MO 65211, USA;National Institute of Agricultural Science and Technology, Suwon, South Korea

  • Venue:
  • Computers and Electronics in Agriculture
  • Year:
  • 2005

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Abstract

Efficient and cost-effective methods are needed for delineating sub-field productivity zones to improve soil and crop site-specific management. This investigation was conducted to answer the question of whether apparent soil electrical conductivity (EC"a) and elevation could be used to delineate productivity zones (SPZ) for claypan soil fields that would agree with productivity zones delineated from yield map data (YPZ). Ten and seven years of combine-monitored yield maps were available for two Missouri claypan soil fields, designated Field 1 and Field 2, respectively. The fields were generally cropped in corn and soybean. Soil EC"a data were collected with a non-contact, electromagnetic induction-based EC"a sensor (Geonics EM38) and a coulter-based sensor (Veris model 3100). Elevation data were collected using a real-time kinematic GPS. Unsupervised fuzzy c-means clustering was independently used both on yield data to delineate three YPZ and on combinations of EC"a and/or elevation data to delineate three SPZ. Outcomes of YPZ and SPZ were matched and agreement calculated with an overall accuracy statistic and a statistical index called the Kappa coefficient. Best performing combinations of EC"a and elevation variables gave 60-70% agreement between YPZ and SPZ. We consider this level of agreement promising, especially considering that there were many other yield-limiting factors unrelated to EC"a and elevation. Generally, multiple variables of EC"a and elevation were better than a single variable for generating SPZ. The specific combinations of EC"a and/or elevation variables that gave highest agreement between YPZ and SPZ were field specific. Based on these findings, we conclude EC"a and elevation measurements can be reliably used for creating productivity zones on claypan soil fields.