New information is needed to improve our understanding of the long-distance transport of wind dispersed pollen from genetically-engineered (GE) crops.

In an interdisciplinary effort, we will (1) develop and test new methods with unmanned aircraft systems (UASs or drones) for monitoring wind-dispersed pollen from GE switchgrass and hemp, (2) generate and validate a large eddy simulation (LES) model to track the long-distance transport of GE pollen from these crops, and (3) predict the regional transport of wind-dispersed pollen using the LES model.

See the press release about this project here.