Arghajeet Saha Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Scientist / Professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Arghajeet Saha's research focuses on managing phosphorus cycles and improving water quality, particularly within agricultural contexts. His work investigates the benefits of weather-based manure application timing and placement strategies to mitigate environmental impacts. Saha also explores the potential for biorefineries to recover phosphorus from agricultural watersheds and wastewater, aiming to close nutrient loops and reduce reliance on virgin resources. His research extends to livestock data gaps, which he identifies as barriers to effective environmental and disease management, and he has developed machine learning methods for identifying animal feeding operations at a parcel scale. Saha collaborates with researchers at the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station. His scholarly output includes 10 publications with 34 citations and an h-index of 3.
Metrics
- h-index: 4
- Publications: 13
- Citations: 41
Selected Publications
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Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights (2025)
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Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives (2025)
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Machine learning-based identification of animal feeding operations in the United States on a parcel-scale (2025)
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Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives (2024)
Collaboration Network
Top Collaborators
- Creating an alternative future for Earth's phosphorus cycle in the Anthropocene via eco-prospecting, eco-mining, and eco-refining
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Gaps in U.S. livestock data are a barrier to effective environmental and disease management
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
Showing 5 of 7 shared publications
- Water quality benefits of weather-based manure application timing and manure placement strategies
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights
- Water quality benefits of weather-based manure application timing and manure placement strategies
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights
- Water quality benefits of weather-based manure application timing and manure placement strategies
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
- Unlocking the phosphorus circularity potential of corn belt watersheds with biorefinery phosphorus recovery incentives
- Unlocking the Phosphorus Circularity Potential of Corn Belt Watersheds with Biorefinery Phosphorus Recovery Incentives
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Machine Learning-Based Identification of Animal Feeding Operations in the United States On a Parcel-Scale
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Machine Learning-Based Identification of Animal Feeding Operations in the United States On a Parcel-Scale
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
- Water quality benefits of weather-based manure application timing and manure placement strategies
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