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 $5 million National Science Foundation Project Grant, awarded under the Biological Sciences program (CFDA 47.074), funds research and educational activities related to leaf angle variation in maize plants from 2022-2026. Iowa State University will lead efforts to identify genes controlling leaf angle variation across plant canopies using high-throughput phenotyping and transcriptomic analyses. Functional validation of candidate genes will be conducted through CRISPR-based gene editing....
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 $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 $324,213 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI infrastructure to integrate multi-scale sensing data and 3D modeling for enhanced crop monitoring and assessment. The key products to be delivered include: An AI system that integrates satellite, drone, and in-situ sensor data to accurately model 3D crop structures, including both above- and below-ground...
This three-year, $1,060,492 National Science Foundation project grant supports research at Oregon State University to uncover the genetic basis of specialized vascular function in maize. Funded under the Biological Sciences program (CFDA 47.074), the grant enables the Principal Investigators to apply single-cell genomics, mutant mapping, and machine learning to identify key genetic regulators that define specialized veins critical for maize's drought tolerance and ability to host beneficial...
This $699,870 Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) supports the development of simplified and highly efficient genetic modification technologies for economically important grasses and cereal crops. The "PLANTTRANSFORM: SMART GRASS" project aims to overcome the current constraint in the plant science research community regarding the capacity to genetically modify major crop plants. The award establishes a...
The National Science Foundation awarded a $304,786 project grant to the Donald Danforth Plant Science Center under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a cyber-physical system for securely sharing agricultural data and lessons learned via edge computing. The three-year award beginning October 1, 2022 will support intersecting expertise in plant science, secure networked systems, software engineering, and geospatial science to mitigate challenges...
This NSF-funded Project Grant for $1,572,007 awarded to Iowa State University aims to uncover the molecular network underlying maize silk growth. The research, conducted under the NSF Biological Sciences (CFDA 47.074) program, has two key objectives: (1) using interactomics and transcriptomics to identify the genes and regulatory pathways controlling silk growth, and (2) evaluating the applicability of a newly identified silk growth mutation for use in baby corn breeding through genome...