Project Grant 2330216
- 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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $451,000 in funding to Clemson University to develop a networked cyber-physical system (CPS) for controlled-environment agriculture (CEA). The key objectives are to reduce energy consumption and costs while optimizing crop production efficiency in CEA facilities. The project will integrate advanced data analytics, renewable energy, and energy...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant award (CFDA 47.070) provides $248,844 to Texas A&M AgriLife Research to develop a networked cyber-physical system (CPS) for controlled-environment agriculture (CEA). The project aims to optimize crop production and energy efficiency in CEA facilities to enhance food security and sustainability. Key products include: Integration of photosynthesis models with real-time biophysical...
- 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...
- 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...
- This $250,000 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), will fund the development of a multi-modal integrated sensor system and through-the-soil wireless power transmission technique for continuous, real-time monitoring of soil variables over time and space. A collaboration between Tennessee Technological University, the University of Tennessee...
- 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 Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) provides $274,525 to Leaficient Inc., a for-profit organization, to develop and evaluate a novel light production system for controlled environment agriculture (CEA) that dynamically shapes light to optimize power efficiency and biomass growth. The project aims to improve the energy efficiency of indoor agriculture by using advanced optics, machine...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award totaling $300,000 will fund the development of a sustainable wearable sensor system to continuously monitor tree health. The key products and services to be delivered include: The project will create a zero-maintenance, intelligent, and robust computer system that uses biocompatible sensor arrays implanted in plant xylem to monitor water and nutrient uptake...
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 photosynthesis models with real-time biophysical measurements to optimize environmental parameters; 2) using AI-guided image and sensor data analytics for automated monitoring of crop growth and environmental conditions; 3) implementing robot-assisted data collection using novel control approaches for optimal distribution of mobile manipulators in large CEA facilities; and 4) devising stochastic control tools to manipulate environmental parameters to facilitate photosynthesis for different crop species and growth stages. The project outcomes are expected to enable a paradigm shift in CEA systems, improving their resilience and moving towards fully autonomous, net-zero-energy facilities. The award period is from October 1, 2024 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/10/24 |