Project Grant 2434387
- 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, valued at $1,018,281 and provided by the National Science Foundation's Office of Advanced Cyberinfrastructure, supports the development of OpenForest4D - a web-based cyberinfrastructure platform for next-generation 4D forest mapping and monitoring. The goal is to apply novel statistical models and artificial intelligence methodologies to a fusion of multi-source remote sensing data to generate on-demand, research-grade estimates of forest structure and above-ground...
- This $1,200,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to the University of Illinois to establish millimeter wave (mmWave) radar as a first-class perception and control tool for small autonomous robots and drones. The project aims to develop new radar-based localization, mapping, and semantic scene understanding capabilities that can operate on the limited onboard compute of small robots...
- 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 Project Grant award for $600,000 from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will fund the development of an interactive web-based platform called OpenForest4D. This platform will enable the generation of high-quality, research-grade estimates of forest structure and above-ground biomass across large spatial and temporal scales by applying novel statistical and AI models to a fusion of multi-source remote sensing data. The University of Florida...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $274,990 to Trees ROI LLC to develop a 3-dimensional, non-destructive ground penetrating radar (GPR) computed tomography (CT) system with software analytics to assess the quality of container-grown root systems in nursery stock trees. The goal is to modernize industry inspection methods to improve the quality, value, and lifespan of nursery trees, promoting...
- The National Science Foundation awarded a $275,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to Gaia AI, Inc. for a one-year project ending April 2024. The grant funds the development of techniques to combine disparate data sources including LiDAR, satellite imagery, and drone data to construct high-fidelity digital twins of forests. By expressing LiDAR metrics in a way that associates them with top-down imagery, the awardee aims to build...
- This National Science Foundation (NSF) Project Grant under the Engineering program (CFDA 47.041) provides $599,989 to the University of Tennessee at Chattanooga (UTC) to develop advanced subsurface sensing systems for real-time infrastructure monitoring and mapping. The 3-year award, effective September 1, 2024, will fund the creation of teams of autonomous ground penetrating radar (GPR) agents equipped with cognitive slant sensing capabilities. The research aims to enable faster and more...
- This Project Grant award of $500,000 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research effort led by the University of Hawaii at Manoa. The goal is to develop a novel, low-cost system for localized data acquisition to enable communities in Hawaii and similar remote, rural, and austere regions to actively participate in monitoring their local environments. The project will integrate three core innovations: a 3D-printed, open-source...
- This $458,725 federal Project Grant award was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the University of California, Irvine (UCI) to address critical challenges in modern radar systems. The project aims to design scalable, fully integrated radar transceivers operating at millimeter-wave and near terahertz frequencies to enable transformative applications such as safer autonomous systems, real-time security monitoring, precise environmental...
This Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), provides $300,000 in funding to the University of Illinois to develop a low-cost, scalable sensing system that uses radar and wireless communication technologies to detect and characterize the forest understory. The key objectives are to advance radar sensing and physics-aware modeling by demonstrating an IoT-powered forest observatory in real-world scenarios, and to create new educational and outreach materials, including open-source software and student training modules, to broaden the impact and accessibility of the research. This project aims to address the limitations of traditional satellite and aerial remote sensing technologies in observing vegetation beneath the forest canopy, which is essential for effective forest management, biodiversity conservation, wildfire prevention, and environmental monitoring.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/19/25 |