Project Grant 2133355

Award Date 10/1/22
Completion Date 9/30/25
Dollars Obligated $305K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Olivette, MO 63132, USA
Similar Awards
The National Science Foundation (NSF) awarded a $1,199,053 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Florida to develop interactive machine learning tools to support plant scientists in analyzing data from minirhizotron imaging systems. The project aims to optimize the human-machine interaction for labeling and interpreting plant root imagery, enabling more efficient utilization of sensor data for research on plant adaptation and...
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 $250,000 project grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports an interdisciplinary research effort led by the University of Virginia to develop a networked cyber-physical system for controlled-environment agriculture (CEA). The project aims to optimize crop production and energy efficiency in CEA facilities to address global food security challenges. Key aspects of the research include: 1) integrating...
This $150,000 National Science Foundation project grant supports the development of smart tools and sensors to enhance ecosystem services and economic returns from regenerative farmland management practices. Awarded on March 15, 2021 under the Computer and Information Science and Engineering program (CFDA 47.070), the two-year grant funds Pecan Street Inc. to connect communities through sensors and data analytics to deliver improved environmental and economic outcomes. Cornell University and...
The National Science Foundation (NSF) awarded a $299,992 Technology, Innovation, and Partnerships (TIP) program grant (CFDA 47.084) to the Donald Danforth Plant Science Center in Olivette, Missouri. The purpose of this 1-year project grant, awarded on June 15, 2024, is to develop governance and recruitment structures that will increase the sustainability of the Plant Computer Vision (PlantCV) open-source ecosystem. This will involve training developers in sustainable open-source software...
This $250,037 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research initiative led by the University of Memphis. The project aims to develop a networked cyber-physical system with advanced data analytics and integrated renewable energy storage to optimize crop production and energy efficiency in controlled-environment agriculture (CEA) facilities. Key objectives include: 1) integrating...
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 University of the District of Columbia received a two-year, $299,892 Project Grant award from the National Science Foundation Division of Computer and Network Systems to support research and development activities related to data science and engineering for agriculture automation. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), this award will allow UDC to advance the development and use of data-driven approaches and cyberinfrastructure to enable...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $284,412 to the University of Nebraska to develop new techniques for enabling scalable and interoperable secure operations for wireless-enabled devices in modern farming settings. The key research efforts include: (1) scalable trust establishment for chirp spread spectrum (CSS) modulation-based wireless nodes, (2) soil-adaptive trust...
The National Science Foundation awarded a $179,150 Project Grant to the Donald Danforth Plant Science Center 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 translate single-cell RNA sequencing data into an ultra-high resolution 3D spatial map of gene expression in plant roots. Specifically, the grantee will leverage existing fluorescent...

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 of sharing preprocessed datasets and results from crop data collection on soybean, sorghum and other plants on farms in Missouri, Illinois and Tennessee. Machine learning models trained on distributed datasets will predict plant stress and detect pathogens to provide feedback to farmers. The work will also inform management of other Internet of Things applications such as smart healthcare.

Generated 1/6/24, 3:28 PM