An innovative UAV sensing and AI platform that enhances dryland management by assessing the impact of practices like cover crops and tillage on crop stress and soil moisture, enabling water-smart agricultural decisions in water-constrained areas.
This cutting-edge solution leverages UAV-based multispectral and thermal remote sensing combined with AI to optimize dryland management practices. By assessing the effects of cover crops, tillage, nitrogen rates, and crop rotations, the platform provides actionable insights into crop stress and soil moisture dynamics. This enables farmers in water-constrained regions like western Kansas to make informed, water-smart decisions, improving crop health and yield while mitigating risks associated with water scarcity.
Core Features:
The technology is currently at TRL 3, indicating active research and development with initial field trials showing promising results. Future validation efforts will focus on expanding the dataset and refining AI models to enhance prediction accuracy and decision-making tools.
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.