A precision irrigation framework using constrained seasonal groundwater budgets and remote sensing to optimize water productivity. It focuses irrigation on high-yield potential areas, enhancing efficiency and sustainability in agriculture.
The proposed precision irrigation framework integrates constrained seasonal groundwater budgets with remote sensing and land data assimilation to optimize water use in agriculture. By implementing a marginal productivity index (MPI), the system prioritizes irrigation in zones with the highest yield potential, aiming to sustain aquifer resources while maximizing water productivity. This innovative approach not only enhances yield efficiency but also aligns with groundwater conservation strategies, offering a practical solution for farmers to improve profitability and comply with stabilization targets.
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The precision irrigation framework is currently at a Technology Readiness Level (TRL) 4, indicating that it has been validated in a laboratory environment and is undergoing field trials in Garden City, KS. Further validation is planned to demonstrate its effectiveness and scalability.
Kansas State University is a comprehensive public land‑grant research university with multiple campuses and a strong applied mission. Industry partners tap a statewide extension network that connects companies to field sites, talent, and rapid outreach; campus pilot plants and analytical services enable bench‑to‑pilot scale validation, while co‑located high‑containment facilities support regulated studies. The Olathe campus in the Kansas City metro serves as an industry‑engagement hub with workforce pipelines, collaborative labs, and proximity to the Kansas City Animal Health Corridor. Research is supported by competitive federal funding from agencies such as NSF, NIH, USDA, and DOE, alongside state and corporate sponsors, and a dedicated technology transfer office streamlines IP, sponsored research, and startup formation.