Project Grant 2312643
Award Date
10/1/23
Completion Date
9/30/26
Dollars Obligated
$1.2M
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Gainesville, FL 32611, USA
Similar Awards
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 $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...
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...
The National Science Foundation awarded a $199,918 Project Grant to the University of Michigan under the Biological Sciences federal grant program (CFDA 47.074) for the period of June 15, 2022 through May 31, 2024. The award will support the development of new computational tools and methods to map single-cell RNA sequencing data onto 3D spatial models of plant roots at ultra-high resolution. Researchers will leverage existing fluorescent reporter gene lines in Arabidopsis to perform...
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 $300,000 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a sustainable, intelligent wearable sensor system for continuous tree health monitoring. The primary goals are to: Create a biocompatible, ion-sensitive sensor array that can be implanted in a plant's xylem to continuously monitor water and nutrient uptake in real-time. Develop energy-harvesting techniques...
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...
This $377,731 federal Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will support research at Clemson University to apply machine learning and multi-omics network approaches to predict protein functions in the model plant Arabidopsis. The project aims to generate resources that will benefit the plant research community and local educators. Specifically, the researchers will employ artificial intelligence and deep learning techniques to...
This National Science Foundation Project Grant of $1,255,705 will support research at the University of Missouri System from August 2022 to July 2025 to advance understanding of autonomous leaf-specific iron deficiency responses in plants. Funded through the NSF's Biological Sciences program (CFDA 47.074), the project aims to identify transcriptional complexes necessary to regulate iron homeostasis in leaves through time-series gene expression analysis, high-throughput DNA-protein and...
This Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will support a collaborative research project to develop functional pangenomic and machine learning tools for exploring genetic diversity in plants. The $1,346,558 grant, awarded on October 1, 2024, will enable the National Center for Genome Resources (NCGR), a non-profit research institute, to create a modular software tool that will help scientists study genetic diversity in various...