Advance innovation through integrating models, sensing technologies, and artificial intelligence to assimilate spatial and temporal data, as well as transcriptomics, metabolomics, and genomics to improve agronomic, horticultural, and landscape systems.
Objectives
- Enhance plant production and health utilizing existing and developing proximal and remote sensing technologies.
- Utilize big data, machine learning, artificial intelligence, and mechanistic models to develop the next generation of decision support systems for nutrient, water, and pest management.
- Integrate our expertise with engineers, computer scientists, and others to identify cost-effective robotic and precision agriculture tools.
Centers and Research Areas
Faculty Working in This Area
Digital Innovation researchers working in the Department of Plant Science at Penn State.
