HAWQS (Hydrologic and Water Quality System) is a web-based interactive water quantity and quality modeling system that employs as its core modeling engine the Soil and Water Assessment Tool (SWAT), an internationally-recognized public domain model. 

SC.HAWQS (South Carolina Watershed and Water Quality Assessment Tool) is developed based on HAWQS for South Carolina specifically [Srinivasan, Tech, and Karthikeyan, 2023], which can be used as a user‑friendly web‑based decision support system for regional water resources management under a changing climate.

idCROP (Irrigation Decision Support System for Conserving Resources and Optimizing Production) is a producer-friendly crop model- and sensor-based irrigation decision support system designed to provide real-time irrigation schedules and projected economic outcomes based on water use and production goals. The project was led by Dr. Srinivasulu Ale from Texas A&M AgriLife Research [Ale, Su et al., 2023].