A cutting-edge computer vision solution to automate the creation of plot grids in agricultural fields, leveraging advanced image processing and machine learning to detect plot edges and vertices.
This innovative solution employs computer vision techniques to automate the creation of plot grids in agricultural fields. By detecting the edges and vertices of each plot grid using both classical computer vision and machine learning approaches, the system can accurately generate and match plots to their correct numbers. This technology enhances precision in field trials, potentially reducing manual labor and increasing data accuracy.
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The technology is currently at TRL 5, indicating that it has been validated in a relevant environment and is ready for further testing and integration with industry partners.
The Ohio State University is a comprehensive public land‑grant research university in Columbus, serving one of the nation’s largest student populations and a broad research enterprise. Industry partners engage through an integrated academic medical center for clinical translation, a campus‑adjacent innovation district for co‑located projects, and a statewide extension network that pilots solutions across Ohio. Corporate engagement provides a single front door for sponsored research, talent pipelines, and streamlined agreements. Research is supported by competitive federal funding from agencies such as NIH, NSF, DOE, USDA, DoD, and NASA. A dedicated technology transfer office and venture support help protect IP, license technologies, and launch startups.