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Unmanned Aerial Systems Project for Precision Agriculture and High Throughput Field Phenotyping

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Michael Starek

Assistant Professor

Engineering and Computer Science, Conrad Blucher Institute for Surveying and Science, Texas A&M University – Corpus Christi, Texas

UAS Research Objective

UAS-based remote sensing and photogrammetric techniques for geospatial analytics. Current UAS research for agriculture is focused on: best practices for small UAS data collection and processing for geospatial fidelity; multi-sensor integration; machine learning techniques for analytics; and applications related to crop health, particularly pest management, and forage and rangeland problems.

Brief Biography

I am an Assistant Professor in Geospatial Engineering and GISc and Director of the Measurement Analytics Lab (MANTIS). My research focuses on emergent remote sensing and geomatics techniques for measurement of natural and built system dynamics. Current research thrusts include UAS photogrammetry, LiDAR mapping systems and applications, measurement uncertainty, and machine learning applications to remotely sensed data.
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