Troy S. Magney

The paper evaluates how well leaf spectra can recover Farquhar-von Caemmerer-Berry parameters using deep learning, finding limited transferability across datasets but consistency within species.

This study uses hyperspectral data and network analysis to show how plant populations adapt to climate change through coordinated trait networks rather than isolated traits.

This study identifies key genetic loci associated with stomatal and leaf traits in Populus trichocarpa that contribute to climate adaptation, showing smaller stomata in genotypes from arid regions.

This paper demonstrates that hyperspectral sensing can identify salinity-tolerant grapevine germplasm with high throughput and non-destructive methods, showing better performance with a more expensive, sensitive device.