Dr. Alfonso F. Torres-Rua
Assistant Professor at Utah State Univ
SPIE Involvement:
Author
Area of Expertise:
UAV , remote sensing , agriculture , water mangement , machine learning , irrigation
Websites:
Profile Summary

A Peruvian native, he is passionate about finding practical solutions for agriculture, water using remote sensing and modeling.
Teaching Interests involves remote sensing (unmanned aerial vehicles and satellites) production and analysis for agricultural water management, with emphasis on spatial crop status and water use estimation and monitoring at small and large scale. Research Interests include integration of ground and remote sensing for agricultural production and water management, as well as basin-scale integration.
Publications (5)

PROCEEDINGS ARTICLE | July 16, 2018
Proc. SPIE. 10664, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III
KEYWORDS: Thermography, Infrared sensors, Unmanned aerial vehicles, Agriculture, Cameras, Sensors, Calibration, Remote sensing, Radiometry, Environmental sensing

PROCEEDINGS ARTICLE | May 21, 2018
Proc. SPIE. 10664, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III
KEYWORDS: Unmanned aerial vehicles, Near infrared, Optical filters, Agriculture, Satellites, Image segmentation, Remote sensing, Vegetation, Satellite imaging, Earth observing sensors

PROCEEDINGS ARTICLE | May 21, 2018
Proc. SPIE. 10664, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III
KEYWORDS: Near infrared, Agriculture, Sensors, Satellites, Remote sensing, Error analysis, Reflectivity, Vegetation, Sensor performance, Monte Carlo methods

PROCEEDINGS ARTICLE | May 21, 2018
Proc. SPIE. 10664, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III
KEYWORDS: Unmanned aerial vehicles, Near infrared, Data modeling, Remote sensing, Reflectivity, Image resolution, Clouds, 3D modeling, Vegetation, Global Positioning System

PROCEEDINGS ARTICLE | May 16, 2017
Proc. SPIE. 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II
KEYWORDS: Unmanned aerial vehicles, Landsat, Agriculture, Water, Remote sensing, Yield improvement

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