AutoShapeGEN GUI automates plot-grid creation from UAV orthomosaic imagery, enhancing precision agriculture with accurate geospatial and spectral analyses. It reduces manual effort, streamlining data integration for applications like disease detection and vegetation health.
AutoShapeGEN GUI offers an innovative computer vision solution designed to automate the creation of geo-referenced vector and raster representations from high-resolution UAV orthomosaic imagery. This tool is tailored for precision agriculture, significantly reducing the manual work involved in plot-grid creation and enabling accurate data integration for spatial and spectral analyses. By improving efficiency, it supports applications such as disease detection, weed management, and vegetation health monitoring, thereby enhancing overall agricultural productivity.
The AutoShapeGEN GUI is currently at Technology Readiness Level 3, indicating that it has been validated in a laboratory setting. Further development and validation are planned to enhance its capabilities and prepare it for broader deployment in precision agriculture settings.
Mississippi State University is a comprehensive public land‑grant research university based in Starkville with a large residential campus and a statewide footprint. Industry connects through an adjacent research and technology park that co‑locates corporate tenants with university labs, prototyping spaces, and co‑op and internship pipelines. As the state’s land‑grant, MSU runs an extensive extension network and experiment stations that offer field‑scale testbeds and rapid access to partners across Mississippi. Research is supported by competitive funding from agencies such as NSF, USDA, DoD, and DOE. A dedicated technology transfer office streamlines IP, licensing, and startup formation, with corporate engagement staff shaping sponsored research.