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Environmental Sciences

D-Index
63
Citations
14476
World Ranking
2468
National Ranking
990

Research.com Recognitions

  • 2018 - Fellow of the American Society of Agronomy (ASA)

Overview

Kenneth A. Sudduth is affiliated with the Agricultural Research Service in the United States. Their research primarily spans environmental science and agricultural and biological sciences. The scientist's work includes a significant focus on environmental engineering, ecology, plant science, soil science, and analytical chemistry as subfields of study.

Their main topics of research cover remote sensing in agriculture, smart agriculture and artificial intelligence, remote sensing and LiDAR applications, soil geostatistics and mapping, soil carbon and nitrogen dynamics, spectroscopy and chemometric analyses, and plant water relations and carbon dynamics.

Frequent co-authors with whom Kenneth A. Sudduth has collaborated include Jianfeng Zhou, Kristen S. Veum, Newell R. Kitchen, Earl D. Vories, and Curtis J. Ransom.

The scientist has contributed publications to several venues repeatedly. Notably, these include Computers and Electronics in Agriculture, Precision Agriculture, SSRN Electronic Journal, Agricultural and Forest Meteorology, and the 2020 ASABE Annual International Virtual Meeting.

Examples of recent papers authored or co-authored by Kenneth A. Sudduth are:

  • Yield estimation in cotton using UAV-based multi-sensor imagery, 2020, Biosystems Engineering
  • Evaluation of cotton emergence using UAV-based imagery and deep learning, 2020, Computers and Electronics in Agriculture
  • Deep transfer learning of global spectra for local soil carbon monitoring, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Early corn stand count of different cropping systems using UAV-imagery and deep learning, 2021, Computers and Electronics in Agriculture
  • Comparison of precision and conventional irrigation management of cotton and impact of soil texture, 2020, Precision Agriculture

Kenneth A. Sudduth has been recognized as a Fellow of the American Society of Agronomy in 2018.

Best Publications

  • A global spectral library to characterize the world’s soil

    R.A. Viscarra Rossel;T. Behrens;E. Ben-Dor;D.J. Brown

  • Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture

    K.A. Sudduth;S.T. Drummond;N.R. Kitchen

  • Relating apparent electrical conductivity to soil properties across the north-central USA

    K. A. Sudduth;N. R. Kitchen;W. J. Wiebold;W. D. Batchelor

  • Soil Electrical Conductivity as a Crop Productivity Measure for Claypan Soils

    N. R. Kitchen;K. A. Sudduth;S. T. Drummond

  • Proximal Soil Sensing: An Effective Approach for Soil Measurements in Space and Time

    R.A. Viscarra Rossel;V.I. Adamchuk;K.A. Sudduth;N.J. McKenzie

  • Soil moisture and organic matter prediction of surface and subsurface soils using an NIR soil sensor

    J.W Hummel;K.A Sudduth;S.E Hollinger

  • Estimating depths to claypans using electromagnetic induction methods

    J. A. Doolittle;K. A. Sudduth;N. R. Kitchen;S. J. Indorante

  • Delineation of Site-Specific Management Zones by Unsupervised Classification of Topographic Attributes and Soil Electrical Conductivity

    C. W. Fraisse;K. A. Sudduth;N. R. Kitchen

  • Comparison of electromagnetic induction and direct sensing of soil electrical conductivity

    K. A. Sudduth;N. R. Kitchen;G. A. Bollero;D. G. Bullock

  • Soil electrical conductivity and topography related to yield for three contrasting soil-crop systems

    N. R. Kitchen;S. T. Drummond;E. D. Lund;K. A. Sudduth

  • Soil organic matter, CEC, and moisture sensing with a portable NIR spectrophotometer

    K.A. Sudduth;J.W. Hummel

  • Field-scale variability in optimal nitrogen fertilizer rate for corn

    Peter C. Scharf;Newell R. Kitchen;Kenneth A. Sudduth;J. Glenn Davis

  • Soil Health Assessment: Past Accomplishments, Current Activities, and Future Opportunities

    Douglas L. Karlen;Kristen S. Veum;Kenneth A Sudduth;John F. Obrycki

  • Management Zone Analyst (MZA)

    Jon J. Fridgen;Newell R. Kitchen;Kenneth A. Sudduth;Scott T. Drummond

  • Remote- and Ground-Based Sensor Techniques to Map Soil Properties

    Edward M. Barnes;Kenneth A. Sudduth;John W. Hummel;Scott M. Lesch

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

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

  • STATISTICAL AND NEURAL METHODS FOR SITE–SPECIFIC YIELD PREDICTION

    Scott T. Drummond;Kenneth A. Sudduth;Anupam Joshi;Stuart J. Birrell

  • Soil macronutrient sensing for precision agriculture

    Hak Jin Kim;Kenneth A. Sudduth;John W. Hummel

  • Ground-Based Canopy Reflectance Sensing for Variable-Rate Nitrogen Corn Fertilization

    Newell R. Kitchen;Kenneth A. Sudduth;Scott T. Drummond;Peter C. Scharf

  • Biological indicators of soil quality and soil organic matter characteristics in an agricultural management continuum

    Kristen S. Veum;Keith W. Goyne;Robert J. Kremer;Randall J. Miles

  • Portable, near-infrared spectrophotometer for rapid soil analysis

    K. A. Sudduth;J. W. Hummel

  • Electromagnetic Induction Sensing as an Indicator of Productivity on Claypan soils

    Kenneth A. Sudduth;Newell R. Kitchen;David F. Hughes;Scott T. Drummond

Frequent Co-Authors

Newell R. Kitchen
Newell R. Kitchen Agricultural Research Service
Robert J. Kremer
Robert J. Kremer University of Missouri
Claire Baffaut
Claire Baffaut United States Department of Agriculture
Stephen H. Anderson
Stephen H. Anderson University of Missouri
William J. Wiebold
William J. Wiebold University of Missouri
Germán A. Bollero
Germán A. Bollero University of Illinois at Urbana-Champaign
Sabine Grunwald
Sabine Grunwald University of Florida
David E. Clay
David E. Clay South Dakota State University
Alexandra Kravchenko
Alexandra Kravchenko Michigan State University
Peter P. Motavalli
Peter P. Motavalli University of Missouri

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