V. Steven Green Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Professor Soil and Water Conservation

Arkansas State University

faculty

14 h-index 23 pubs 1,569 cited

Research Areas

Remote Sensing in Agriculture Advanced Neural Network Applications Soil and Water Nutrient Dynamics Agronomic Practices and Intercropping Systems Rice Cultivation and Yield Improvement Plant Physiology and Cultivation Studies Ecology and Vegetation Dynamics Studies Higher Education Research Studies

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ORCID Research Group

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OverviewAI-generated summary

V. Steven Green's research focuses on the application of remote sensing technologies and data analysis to agricultural and conservation practices. He investigates methods for identifying crop nutrient deficiencies, such as nitrogen in maize, using various remote sensing indices and unmanned aerial vehicle imagery analyzed with deep learning techniques. His work also examines the detection of intra-field variations in crop yield, specifically in rice, through similar remote sensing approaches.

Green's scholarship extends to evaluating the trends and development of remote sensing applications within conservation agriculture. He has published frameworks for winter-time cover crop identification and explored the use of satellite imagery to reveal cover-crop adoption patterns and crop-rotation hotspots in the Mississippi Alluvial Plain. Additionally, his research includes studying the short-term effects of cover crops and tillage management on soil physical properties.

Metrics

  • h-index: 14
  • Publications: 23
  • Citations: 1,569

Selected Publications

  • Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain (2025) DOI
  • Analysis of Competency Assessments Used in an Upper-Level Soil Fertility Course (2025) DOI
  • Short-Term Effects of Cover Crops and Tillage Management on Soil Physical Properties on Silt Loam Soil (2024) DOI
  • Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation (2023) DOI
  • An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture (2023) DOI
  • Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning (2022) DOI
  • Determining nitrogen deficiencies for maize using various remote sensing indices (2022) DOI

Collaborators

Researchers in the database who share publications

Aaron M. Shew University of Arkansas at Fayetteville 4 shared publications Lawton Lanier Nalley University of Arkansas at Fayetteville 3 shared publications Michael P. Popp University of Arkansas at Fayetteville 3 shared publications Zobaer Ahmed University of Arkansas at Fayetteville 3 shared publications Kristofor R. Brye University of Arkansas at Fayetteville 2 shared publications Lawson Connor University of Arkansas at Fayetteville 2 shared publications Ahmed A. Hashem Arkansas State University 2 shared publications Brayden W. Burns Arkansas State University 2 shared publications

Similar Researchers

Based on overlapping research topics

Fared Farag Arkansas State University
Remote Sensing in Agriculture Advanced Neural Network Applications Agronomic Practices and Intercropping Systems
Strong match 5 shared topics
Aurelie M. Poncet University of Arkansas at Fayetteville
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Brayden W. Burns Arkansas State University
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Strong match 5 shared topics
D. Philipp University of Arkansas at Fayetteville
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Strong match 6 shared topics
Kristofor R. Brye University of Arkansas at Fayetteville
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Strong match 5 shared topics
Beatriz Moreno‐García University of Arkansas at Fayetteville
Remote Sensing in Agriculture Advanced Neural Network Applications Soil and Water Nutrient Dynamics
Strong match 5 shared topics