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.


  • 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.