Project Grant 2151674
- This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I award to Vitidore, Inc. for $248,912 will fund the development of a machine learning-based software modeling system to quantify soil carbon sequestration and other agronomic metrics associated with a hybrid perennial grass cover crop used in specialty crop farming systems. The prototype software system aims to enable third-party verification of high-quality carbon offsets, provide feedback on important...
- The National Science Foundation awarded Soilserdem LLC a $256,000 Project Grant under the Engineering federal grant program (CFDA 47.041) for the period of May 1, 2021 through March 31, 2022. The grant funds the development of machine learning algorithms to create more accurate and affordable soil maps. The NSF Directorate for Engineering seeks to improve quality of life and economic strength through innovative engineering research and education. This award supports those goals by enabling...
- This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project grant, awarded under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), is focused on developing novel soil organic matter (SOM) amendment techniques to improve nutrient supply, sustain agriculture, and provide long-term, deep soil carbon sequestration to combat climate change. The $274,390 award to Earthen Carbon LLC aims to: 1) demonstrate viable integration of the SOM...
- The National Science Foundation awarded Colorado State University a $249,989 Project Grant under the Engineering federal grant program (CFDA 47.041) on June 15, 2021. The grant supports the development of automated soil organic matter separation techniques to monitor carbon sequestration in soil through November 30, 2022. As part of its mission to promote innovation and excellence in engineering, the NSF Engineering program funds research projects like this one that aim to improve methods for...
- This $304,748 Project Grant awarded on May 15, 2025 by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a new biological input for agriculture that offers improved soil fertility, reduced reliance on chemical inputs, and enhanced crop resilience. The project will deploy microbial strain engineering methods to strengthen the native capacity of beneficial soil microbes for accelerating mineral rock weathering and...
- This $1,499,375 Cooperative Agreement award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to construct a Soil Organic Carbon Knowledge Graph (SOCKG) that will address the demand for accurate soil carbon data. The project is a collaboration between the University of Texas at Arlington (UTA) and the USDA Agricultural Research Service (ARS), with UTA leading the technical development and USDA-ARS providing domain expertise. The...
- 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 Project Grant award of $923,715.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports an interdisciplinary research project led by Texas A&M AgriLife Research to investigate the relationships between soil properties, water content, and cycling of carbon and nitrogen in soils from local to landscape scales. The project will involve field sampling, controlled laboratory experiments, and data analysis to better understand how soil structure, wetness, and...
- The National Science Foundation awarded a $699,989 Project Grant to the University of Wisconsin-Madison through the Engineering (47.041) federal grant program. The grant will support research to leverage spectroscopy and in situ soil sensing to predict key microbial functions influencing soil carbon sequestration. The interdisciplinary team will integrate field observations, soil spectral data, and lab analyses of soil carbon fractions, microbial activity and metabolites. This will quantify...
- This $836,711 National Science Foundation (NSF) Geosciences Program (CFDA 47.050) Project Grant award to the University of Georgia Research Foundation will fund a 5-year research project to advance understanding of soil processes that control carbon storage and loss. The project aims to determine the importance of factors like burn severity, soil type, and erosion in driving the quality and quantity of dissolved organic matter and pyrogenic carbon in soils and water outflow. The research will...
This $255,858 Project Grant from the National Science Foundation will support the development of machine learning models and a software and data platform for cost-effective soil carbon measurement and assessment. Funded under the NSF's Engineering program (CFDA 47.041), the award recipient Yard Stick PBC will develop novel digital pedology techniques to enable accurate in-situ soil carbon predictions. Specifically, the company will create new machine learning algorithms for soil carbon analysis, along with an integrated software and probe system and cloud-based data management platform. This will allow for automated, scalable, and authoritative soil sampling plans tailored for landowner needs and parcel characteristics. The outputs are intended to facilitate regional soil carbon modeling and adaptive sampling methodologies. The period of performance is from April 1, 2022 to December 31, 2022.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $255.9k | 3/29/22 |