Profile-based automated plot extraction from UAV images
An innovative profile-based method for automated plot extraction from UAV images, enhancing efficiency over manual approaches. This solution is designed for diverse crop applications and integrates with open-source software for ease of use.
Overview
The proposed solution offers an advanced method for automated plot extraction using UAV images, providing significant improvements over traditional manual methods. This profile-based approach accurately identifies and extracts trial plots, focusing on the center of each plot rather than the entire grid, which is particularly beneficial for analyzing experimental data in agricultural research. The method is versatile, initially tested with soybean plots, and can be adapted for a variety of crops, including vegetables.
Technical specifications
- Profile-based extraction: Utilizes image features to delineate plots from UAV images without the need for high computing power.
- Integration with ImageJ: Initially developed as a plugin for ImageJ, a free and open-source software.
- Transition to Python: Plans to enhance interactivity and functionality using Python and ipywidgets.
- Geemap and leafmap integration: Allows users to incorporate basemaps and perform zonal statistics, with the capability to overlay satellite images and other datasets in a Jupyter notebook.
- User-friendly interface: Designed for ease of use, with local processing capabilities.
Technology readiness level
The current technology readiness level is 3, indicating that the solution has been demonstrated in a lab environment and is undergoing further validation and development for broader applications.
About University of Illinois, Urbana-Champaign
The University of Illinois Urbana‑Champaign is a flagship public research university with large‑scale research capacity and a broad academic portfolio. An on‑campus Research Park co‑locates corporate R&D teams and startups with faculty, while the National Center for Supercomputing Applications provides advanced computing and data capabilities for collaboration. Integration with a regional health system and an engineering‑based college of medicine enables clinical translation, and a long‑standing extension network links campus innovation to partners statewide. Research is supported by competitive federal funding from NSF, NIH, DOE, USDA, and DoD. A technology transfer office streamlines IP, licensing, and startups, complemented by incubators and prototyping in the Research Park.
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