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How Can Ultra-High Resolution Drone Imagery be Acquired and Used for High Throughput Plant Phenotyping

Speaker Bio:

Dr. Kevin Price served for 28 years as a professor at Utah State University, University of Kansas and Kansas State University. He currently holds a Professor Emeritus position in Agronomy at Kansas State University and is a Collaborating Professor in Agronomy at Iowa State University. Dr. Price took early retirement from Kansas State in 2014 to assume the position of Executive Vice President of Research and Product Development for AgPixel, an image analysis company located in Johnston, Iowa.

AgPixel specializes in advance digital image processing of drone, small piloted aircraft and satellite imagery with the ability to process approximately one million acres per day of standard orthomosaic products.  Dr. Price is among the most invited speakers in the world on the topic of drone imagery and agricultural applications.


A major bottleneck in plant science and crop improvement in the 21st century is predicting how a plant’s appearance (phenotype) is dictated by its genetic make-up (genotype). Even spending less than a minute at each of thousands of study plots to quantify plant phenotypic characteristics for multiple times over the growing season can add to many thousands of hours in labor. Studies have shown the linkage between plant chlorophyll density/pigmentation and biophysical factors such as biomass, LAI, cover, canopy geometry and architecture. Remotely sensed measurements in the visible and near infrared regions of the spectrum are sensitive to plant chlorophyll density. During this presentation, important drone qualities and sensing systems will be discussed and examples of plant phenotypic factors that can be extracted will be presented.

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This technology is supported in part by New Technologies for Agriculture Extension grant no. 2020-41595-30123 from the USDA National Institute of Food and Agriculture and membership funding. Any opinions, findings, conclusions, or recommendations expressed in the content are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture. For more information, please visit You can view the terms of useat

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