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...
The University of Washington received a $1,535,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Program (CFDA 47.070). The grant, awarded in December 2023, aims to advance the integration of artificial intelligence (AI) and smart technologies into Black diasporic urban farming practices. The project will: (1) study sociotechnical ecosystems involving AI to support diasporic urban farming; (2) collaboratively...
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...
The U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA-NIFA) awarded a $749,825 Project Grant under the Agriculture and Food Research Initiative (AFRI) CFDA 10.310 program to the Board of Regents of the University of Nebraska, doing business as the University of Nebraska. The grant, titled "Cultivate Access to Data Science in Agriculture", aims to equip young people with skills and knowledge to tackle challenges in climate change, natural resource...
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 $149,952 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports a planning effort for the DFARM project, which aims to develop a smart, connected, and distributed community hydroponics system to increase food security in Knoxville, Tennessee. The project will engage the local community to explore the social and technical challenges of collaboratively managing a distributed urban agriculture...
This $1,920,000 federal Project Grant award from the USDA's National Institute of Food and Agriculture (NIFA) under the Grants for Agricultural Research, Special Research Grants (CFDA 10.200) program supports applied research by Delaware State University focused on emerging IoT technologies for smart agriculture. The 3-year grant, awarded on August 1, 2024, will enable the university to conduct cutting-edge studies to improve agricultural productivity, economic viability, and food security...
This three-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $349,632 to the University of California, Santa Barbara for collaborative research exploring how emerging digital technologies are transforming occupations and organizations in the dairy farming industry. Specifically, the research will investigate evolving relationships between people,...
This $250,000 National Science Foundation project grant supports the development of spatiotemporally transferable machine learning algorithms for enabling cross-country and cross-hemisphere in-season crop mapping. Funded under the Computer and Information Science and Engineering program, principal investigator George Mason University will design algorithms trained with U.S. agricultural data that can be applied to satellite imagery of foreign countries to generate in-season crop maps without...
The University of Southern California was awarded a $300,000 Project Grant from the National Science Foundation Division of Computer and Network Systems. The grant supports the "EAGER: COMPUTATIONAL AGROECOLOGY: A SYSTEMS APPROACH" project from January 1, 2022 to December 31, 2023. The grant falls under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing and informatics research and education. Through this award, USC...