Meredith Adkins Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Research Professor
faculty
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Meredith Adkins is an Assistant Research Professor at the University of Arkansas at Fayetteville. Her research focuses on the application of advanced computational techniques to address challenges in remote sensing and agricultural systems. Adkins has served as Principal Investigator on two federal grants from the National Science Foundation (NSF) Convergence Accelerator program, totaling over $5.7 million. The largest of these, "Cultivate IQ - Empowering Regional Food Systems," received nearly $5 million and aims to enhance regional food supply chains. She also led the "Data-driven Agriculture to Bridge Small Farms to Regional Food Supply Chains" project, which was funded at over $743,000.
Her recent publications include "AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation" (2024) and "RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection" (2025). These works highlight her expertise in developing sophisticated machine learning models for image analysis in agricultural and environmental contexts. Adkins collaborates with other researchers at the University of Arkansas, including Chase Rainwater and Jackson Cothren, with whom she shares multiple publications. Her scholarship metrics include an h-index of 1 and 3 total publications with 63 citations.
Metrics
- h-index: 2
- Publications: 5
- Citations: 72
Selected Publications
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RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
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AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024)
Federal Grants 2 $5,742,469 total
NSF Convergence Accelerator Track J Phase 2: Cultivate IQ - Empowering Regional Food Systems
Collaboration Network
Top Collaborators
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
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