Our lab seeks to generate weed biology and agronomic information that can be used to develop and implement integrated approaches for weed management that promote crop health and growers’ profitability while minimizing negative environmental impacts.
We combine traditional agronomic field research approaches with molecular tools, UAVs, imaging technologies, and modeling to develop tools that help managers to monitor changes in weed populations and better time weed control actions and maximize crop yield. Furthermore, we work on the development of genetic tools for weed control.
Structure-from-Motion for 3-D Canopy Characterization
Weed Emergence and Phenology Modeling
Rapid Evolution of Weedy Traits
Breeding of Cereal Rye for High Allelopathy and Weed Suppression
Identification of Genetic Targets for Molecular Weed Control
using Gene Silencing and Protein Degradation
Use of UAVs and Imaging Analysis for Weed Mapping and Site-Specific Management
Effects of Agricultural Management Diversification on Weed Population Dynamics