A deep convolutional neural network (DCNN) approach for rapid, non-invasive detection of Wheat streak mosaic virus (WSMV) from leaf photographs. Enables smartphone-assisted disease diagnosis for precision agriculture, wi...
A research initiative leveraging molecular detection tools to characterize beneficial soil microorganisms associated with cover cropping systems. The goal is to validate how cover crops foster suppressive soils that redu...
A non-invasive, cost-effective sensor-based approach for early detection of Wheat streak mosaic virus (WSMV) in wheat and alternative host plants. By monitoring leaf volatile organic compounds emitted before symptoms app...