This $4 million project grant from the Department of Agriculture's National Institute of Food and Agriculture (NIFA) Agriculture and Food Research Initiative (AFRI) program will fund research at Virginia Polytechnic Institute and State University (Virginia Tech) to establish a testbed for applications of advanced artificial intelligence and sensor technologies to reduce carbon dioxide (CO2) emissions from indoor and controlled environment agriculture through recycling CO2 generated by human activities. Virginia Tech will develop phenotyping platforms to monitor plant growth under elevated CO2 and alternative nutrients from food waste, use hybrid lighting and modeling to reduce energy consumption for indoor agriculture, and develop pathogen detection methods using metagenomic sequencing, biosensors, and CRISPR technologies for plants and humans. The university will also conduct economic modeling, surveys, and integrated machine learning on plant phenotypic and environmental data, as well as outreach, workforce training, and K-12 education activities. Subawards of $250,000 each will support related research at Clemson University and Carnegie Mellon University. The three-year project directly addresses the AFRI program priorities of testing climate-smart technologies for greenhouse gas reduction and conducting extension and education activities for next-generation producers.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $4.0m | 3/23/23 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
42371519690S | Regents Of The University Of California At Riverside | Project Grant 20236801739402 | $264.7k | 4/12/24 | |
42371519244S | Clemson University | Project Grant 20236801739402 | $491.2k | 5/18/23 | |
42371519374S | Carnegie Mellon University | Project Grant 20236801739402 | $500.0k | 5/15/23 |