This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program grant, awarded to Purdue University, aims to develop innovative data processing and visualization tools to reconstruct 3D models of maize plants, known as "digital twins." The $533,393 project, running from September 1, 2024 to August 31, 2027, will leverage advanced AI and optimization techniques to simulate how changes in maize plant architecture and environmental conditions impact crop productivity. The goal is to identify genetic markers and candidate genes governing optimal canopy architecture, enabling efforts to breed or engineer maize plants with enhanced yields. This work seeks to advance understanding of plant biology and contribute to meeting global food demands through improved agricultural practices.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $533.4k | 7/25/24 |