Research & Innovation

The C-CEA awarded two seed grants to support interdisciplinary research teams from the Department of Botany, the Department of Electrical Engineering and Computer Science (EECS), and the School of Computing (SoC). The first seed grant ($20,000) is still supporting a collaborative team from the BOT, EECS, and SoC, which aims to build low-cost solutions for plant imaging phenotyping and enhanced use of machine learning for stress prediction. This funding is enabling the team to generate data to be used in interdisciplinary manuscripts and to support students from different colleges while throwing the basis for future extra-mural grants applications.

Man working on a vertical tower of plants

Researchers at a table with instrumentsPreliminary results have been presented to the Wyoming Computing Symposium in the Fall of 2025. The second seed grant ($5,000) has supported the Shoemaker lab (BOT), whose project asked how crop diversity and watering intensity affect plant performance for different food crops—romaine, radishes, and everbearing strawberries. Preliminary results suggest that the benefits of intercropping do emerge in CEA settings but are species dependent with potential tradeoffs among species. The CEA grant supported a postdoctoral researcher, Courtenay Ray, an undergraduate researcher, Kailynn Johnson. 

So far, the C-CEA has awarded two graduate student fellowships. The first in 2023 to Michael Elgin, a PhD student in Computer Science, and the second in 2024 to Menuka Jayalath, a PhD student in Civil Engineering. Through his fellowship, Michael Elgin is establishing the foundations of UPD-3D (unsolvable problem detection) research with direct applications in CEA. His tool addresses a key bottleneck in Crops3D experiments, the absence of inherent textual annotations, by generating descriptive text for otherwise unlabeled point clouds. Through her fellowship, Menuka Jayalath is exploring strategies to enhance the sustainability of indoor agriculture, including the development of a consistent framework for applying life cycle assessment to CEA, evaluating opportunities for energy optimization and renewable integration, and assessing approaches for water and nutrient recycling. Lastly, another student, Romy Agrawal, will be able to continue his work on phenotyping and machine learning completing his MS with the support of the center starting in 2026.

For more information about current research in CEA, visit: https://www.uwyo.edu/science-initiative/plant-facility/research-at-the-pgfc.html