Collaborations
The Sustainable Water Management Research has a long and productive history of collaborative research involving stakeholders.
Current collaborators and projects:
ARKANSAS STATE UNIVERSITY, JONESBORO, AR
Improving Modeling of the Agroecosystem in the Lower Mississippi River Basin
DIVISION OF AGRICULTURE OF THE UNIVERSITY OF, FAYETTEVILLE, AR
Developing Best Management Practices, Tools, and Technologies to Optimize Sustainable Water Use in the Lower Mississippi River Basin
FLORIDA A & M UNIVERSITY, TALLAHASSEE, FL
Indicator Based Approach to Estimate Impact of Land-Use/Land Cover Change on Water Footprint Using Artificial Intelligent (AI) Methods
KANSAS STATE UNIVERSITY, MANHATTAN, KS
Climate States and Climate Changes Observed and Projected in the Mississippi Embayment Aquifer Region from 1981 to 2060
MISSISSIPPI STATE UNIVERSITY, MISSISSIPPI STATE, MS
Decision Support Tools to Address Sustainable Water Management Issues in the Mississippi Delta
Examining Sustainable Production Systems to Improve Water Resources in the Lower Mississippi River Basin
Development of Best Management Practices and Technologies to Optimize Water Use in the Lower Mississippi River Basin
Agronomic Feasibility of Tile Drainage Sub-irrigation and Furrow Irrigation Systems for Crop Production Systems in Mississippi Delta
OREGON STATE UNIVERSITY, CORVALLIS, OR
Hemp-based Fiber Materials, Technology, and Commerce as Drivers for Northwest American Indian Tribal Economic Development
THE ALCORN STATE UNIVERSITY EDUCATIONAL BUILD, LORMAN, MS
Intensification of Agroecosystems and its Impact on Soil health and Water Quality
THE UNIVERSITY OF TEXAS AT ARLINGTON, ARLINGTON
Real-Time Greenhouse Emission Monitoring Using Intelligence Crop Sensor Network
UNIVERSITY OF ARKANSAS SYSTEM, PINE BLUFF, AR
Optimizing Irrigation Water Use in the Arkansas Delta
UNIVERSITY OF TEXAS AT DALLAS, RICHARDSON
Real-Time Greenhouse Emission Monitoring Sensor Development
UNIVERSITY OF TEXAS AT TYLER, THE, TYLER, TX
Aqua-FIT: Early Diagnosis of Water Toxicity Driven by Fish-mounted Low-cost and Miniaturized Sensors