Project Grant 0637869

This Project Grant awarded by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program provides $533,000 in funding to Iowa State University of Science and Technology for a 3-year research project from September 1, 2024 to August 31, 2027. The project aims to develop innovative data processing and visualization tools to generate fundamental knowledge applicable to agriculture and advancing food production needs. The key products include: Reconstructing 3D digital...

This Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) supports the development of new computational tools for analyzing single-cell genomic data across diverse plant species. The $1,180,752 award to Virginia Polytechnic Institute & State University aims to address key challenges in plant single-cell transcriptomics, including determining known and novel cell types, enabling cross-species comparisons, and overcoming the lack of curated...

This $100,000 Project Grant award, funded by the National Science Foundation (NSF) Division of Environmental Biology under the Biological Sciences CFDA program, will support research to improve the representation of plants in ecosystem models. The key products and services to be delivered under this 3-year award include: Investigating methods to estimate plant traits using evolutionary histories to improve the parameterization of vegetation hydraulic traits in hydrologic and ecosystem models....

This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will fund the development of a voice-controlled virtual reality (VR) visual analytics platform for plant digital twins. The project, titled "VR-BIO-TALK: VR Voice-Controlled Visual Analytics Platform for Plant Digital Twins," aims to bridge the gap between large, complex plant datasets and the ability to extract meaningful insights through intuitive, natural...

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...

The National Science Foundation (NSF) awarded a $953,779 Project Grant under the Biological Sciences (CFDA 47.074) program to the Board of Regents of the University of Nebraska to develop innovative data processing and advanced visualization tools for optimizing maize canopy architecture. The goal is to create a "digital twin" of maize plants that can simulate real plant growth and response to the environment. This will allow researchers to experiment with different plant traits and...

This $1,070,000 National Science Foundation project grant will fund research into understanding how genetic interactions in the model plant Arabidopsis thaliana are influenced by environmental conditions. The Division of Molecular and Cellular Biosciences awarded this three-year grant to the University of Wisconsin-Madison beginning July 1, 2022. The university will use artificial intelligence approaches to measure traits in hundreds of pairs of gene mutants under different temperature...

This $862,121 federal Project Grant awarded by the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program supports the development of a voice-controlled virtual reality (VR) visual analytics system for plant digital twins. The University of Arizona, serving as the prime awardee, will develop novel artificial intelligence (AI)-based algorithms to reconstruct detailed 3D plant models from phenotyping data, create an intuitive VR user interface with voice controls, and deploy...

This Project Grant award of $520,720 from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will support research to develop new tools for incorporating emerging models of genetics into genetic mapping, prediction, and simulation. The research, conducted by Colorado State University, aims to better integrate molecular and cellular biology knowledge into statistical models used to map genes, predict traits, and simulate changes in the genotype-to-phenotype...

The Trustees of the University of Pennsylvania received a $526,084 Project Grant from the National Science Foundation Division of Integrative Organismal Systems. The grant is part of the Biological Sciences program (CFDA 47.074) to promote progress in the biological sciences. Under the award, the University will conduct collaborative research to predict plant phenotypes from molecular profiles using topological data analysis and deep learning. Researchers will use X-ray computed tomography to...