PhD Student Position Available (Fall 2025)

PhD Student Position

The successful candidate will work on developing data-driven decision-support tools for California specialty crops using remote sensing (satellite and drone), spectral modeling, crop modeling, AI/ML, and deep learning to optimize crop management and resource efficiency.

2018 research update

Our main objective in 2018 was to investigate aerial multispectral imaging's potential for detecting grapevine Nitrogen status. In 2018, we created an experimental plot design with three different N application rates of (0, 19.3, and 48.3  g N/vine) applied in either two (Slugs) or 10 (Spoonfeed) separate applications throughout the season and with 5 repetitions. In total, we had 30 plots; each included 5 vines.