Database Research Summaries
2018 Small Unmanned Aircraft Thermal Infrared Imaging System to Identify Soybean Drought Tolerant Varieties

calendar_today Year of Research: 2018
update Posted On: 12/04/2019
group Ajay Sharda (Principal Investigator, Auburn University), Daniel Flippo (Co-Investigator, Kansas State University), William Schapaugh (Co-Investigator, Kansas State University), Deon van der Merwe (Co-Investigator, Kansas State University)
bookmark Kansas Soybean Commission

Research Focus

The focus of this project is to provide a high throughput phenotyping platform and enhance capabilities to select not only drought but in future disease and pest resistant varieties as well


  • Record in-season soybean canopy thermal profiles using thermal infrared imaging system (TIRIS).
  • Evaluate the effectiveness of whole-plot thermal imaging for high-throughput phenotyping.


  1. The aerial imagery collected from field sites was analyzed to develop orthomosaics for color, color infrared and thermal data.
  2. The crop data will be used Weather and late rains delayed harvesting of soybean crop. However, the crop data indicating wilting scores, and yield was collected from selected sites.
  3. The data is being processed. The crop data and aerial imagery data will be analyzed statistically to draw conclusions.


Rapid identification of drought-resistant varieties could enhance the capabilities of producers to more efficiently used available water resources and grow better crops even in deficient irrigation/moisture conditions.

For more information about this research project, please visit the National Soybean Checkoff Research Database.

Funded in part by the soybean checkoff.