Project Grant 2226612
- This three-year project grant from the National Science Foundation (NSF) totaling $398,998 will support the development of a multi-modal integrated sensor system and through-the-soil wireless power transmission technique for continuous monitoring of soil variables. The Research Foundation for the State University of New York at Buffalo will receive the funding and collaborate with Tennessee Technological University and the University of Tennessee Knoxville on this research under the NSF's...
- The National Science Foundation awarded a $282,000 Project Grant to Iowa State University under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop soil nutrient and moisture monitoring probe sensors. The university will advance sensors for agricultural monitoring by designing probes integrated with sensors to continuously monitor soil nitrogen, salinity, and moisture levels throughout corn crop cycles up to four months. The probes aim to optimize...
- 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 $500,000 Project Grant award from the National Science Foundation (NSF) Office of International Science and Engineering (CFDA 47.079) supports the "LEVERAGING BIO-CHEMICAL AND GREENHOUSE GAS SENSORS FOR SUSTAINABLE AGRICULTURE INNOVATIONS (BIOSENSEINNOVATIONS)" project. The project aims to develop cutting-edge sensors that can detect nutrients, chemical compounds, soil microbiomes, and greenhouse gases in real-time to advance precision agriculture and promote sustainable farming...
- 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 $250,037 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 awarded The University of Texas at Tyler $199,999 under the Engineering (47.041) federal grant program to develop integrated wearable sensors for monitoring crop health and productivity. Specifically, the university will design, fabricate, and validate sensors to quantitatively profile key plant hormones and metabolites in situ, providing real-time tracking of crop fitness in response to environmental stressors like drought and heat. Researchers will analyze...
- 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...
- Grant Award Summary The National Science Foundation's Directorate for Technology, Innovation, and Partnerships (NSF TIP) awarded a $300,000 Project Grant to the University of California, Santa Cruz on July 15, 2026, under CFDA 47.084. The award supports Phase I development of an open-source hardware and software platform designed to facilitate the deployment and maintenance of outdoor sensor networks for agriculture, forestry, and land management applications. The platform addresses a critical...
- This Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $349,998 to the University of Tennessee for the period of June 1, 2021 through May 31, 2024. The grant funds the "COLLABORATIVE RESEARCH: ELEMENTS: SENSORY: SOFTWARE ECOSYSTEM FOR KNOWLEDGE DISCOVERY - A DATA-DRIVEN FRAMEWORK FOR SOIL MOISTURE APPLICATIONS" project. This project aims to...
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 Knoxville, and SUNY Buffalo, the research aims to produce new knowledge and engineering techniques to enhance farmers' ability to make better crop management decisions. Specifically, the grant will support: 1) Developing a sensor probe network integrating chemically specific, sensitive sensors to detect soil gas analytes with conventional sensors for moisture, temperature and pH; and 2) Powering the sensor system using through-the-soil wireless energy transmission capable of supplying stable, uninterrupted power to sensors over wide areas without maintenance. Analysis of data collected from the wireless sensor network will build predictive algorithms to characterize soil health and inform critical growing decisions. The grant period is from October 1, 2022 to September 30, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 8/22/22 |