Automated UAV image processing for geospatial plot grids in agricultural trials
GeoPard introduces an advanced UAV image processing system utilizing AI and machine learning to create precise plot grids for vegetable trials. This innovation reduces manual labor and errors, enhancing the reliability of crop trait analysis in agricultural research.
Overview
GeoPard Agriculture presents an innovative automated UAV image processing system designed to generate geospatially precise open-field plot grids for vegetable trials. This cutting-edge solution leverages advanced AI and machine learning algorithms to minimize manual labor and errors, thereby significantly enhancing the reliability and efficiency of crop trait analysis and management in agricultural research. By adapting our proven methodologies from satellite imagery projects, we aim to provide a robust, scalable solution tailored for UAV imagery.
Technical specifications
Key features:
- Automated grid creation using UAV imagery integrated with AI and ML algorithms
- High-accuracy drone image viewer for seamless data integration and analysis
- Multi-layer zoning and equation analytics for precise plot delineation
- Sub-centimeter accuracy in grid creation, validated against RTK GNSS measurements
- Real-time error and precision assessment to ensure reliability
Technology readiness level
The technology is at TRL 9, indicating it has been thoroughly tested in real-world conditions and is ready for deployment. The system will undergo further optimization and refinement based on ongoing field trials to enhance its efficiency and accuracy.
About GeoPard Agriculture
A precision farming software company founded in late 2010s. GeoPard focuses on data-driven farm management, providing an independent platform to make sense of agronomic big data. It has a presence in Europe and North America and collaborates with agronomist consultants and ag retailers.
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