20236801739402
Project Grant
Overview
Grant Description
In the United States, residential and commercial buildings have released more CO2 than the entire agriculture sector. On the other hand, the CO2 concentration in buildings can increase to 3000 ppm, a level that can promote plant growth.
The goal of this project is to establish a testbed for applications of advanced AI and sensor technologies to reduce CO2 emissions for indoor and controlled environment agriculture through the recycling of CO2 generated by human activities. This project includes five specific aims.
(1) Smart Growth: Developing phenotyping platforms to monitor plant growth under elevated CO2 and alternative nutrients from food waste.
(2) Smart Building: Using hybrid light and modeling to reduce energy consumption for indoor agriculture.
(3) Smart Health: Developing methods based on metagenomic sequencing, biosensors, and CRISPR technologies for plant and human pathogen detection.
(4) Cross-cutting activities: Economic modeling, surveys, and integrated machine learning from plant phenotypic data and environmental data.
(5) Outreach, extension, workforce training, and K-12 education.
The i2Grow project emphasizes both testing existing technologies and developing new ones that can benefit small- and medium-scale producers. This project involves a transdisciplinary team of scientists and engineers. An advisory board has been assembled to include members from academia, industry, and a government research and training institute to provide annual evaluation and feedback.
The project directly addresses the program priorities on testing climate-smart technologies for GHG reduction, extension activities, and formal and non-formal education for the next-generation producers.
The goal of this project is to establish a testbed for applications of advanced AI and sensor technologies to reduce CO2 emissions for indoor and controlled environment agriculture through the recycling of CO2 generated by human activities. This project includes five specific aims.
(1) Smart Growth: Developing phenotyping platforms to monitor plant growth under elevated CO2 and alternative nutrients from food waste.
(2) Smart Building: Using hybrid light and modeling to reduce energy consumption for indoor agriculture.
(3) Smart Health: Developing methods based on metagenomic sequencing, biosensors, and CRISPR technologies for plant and human pathogen detection.
(4) Cross-cutting activities: Economic modeling, surveys, and integrated machine learning from plant phenotypic data and environmental data.
(5) Outreach, extension, workforce training, and K-12 education.
The i2Grow project emphasizes both testing existing technologies and developing new ones that can benefit small- and medium-scale producers. This project involves a transdisciplinary team of scientists and engineers. An advisory board has been assembled to include members from academia, industry, and a government research and training institute to provide annual evaluation and feedback.
The project directly addresses the program priorities on testing climate-smart technologies for GHG reduction, extension activities, and formal and non-formal education for the next-generation producers.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Blacksburg,
Virginia
24061-6100
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have decreased 50% from $8,000,000 to $4,000,000.
Virginia Polytechnic Institute & State University was awarded
AI & Sensor Tech for Indoor Ag: CO2 Reduction & Recycling
Project Grant 20236801739402
worth $4,000,000
from the Institute of Bioenergy, Climate, and Environment in May 2023 with work to be completed primarily in Blacksburg Virginia United States.
The grant
has a duration of 3 years and
was awarded through assistance program 10.310 Agriculture and Food Research Initiative (AFRI).
The Project Grant was awarded through grant opportunity Agriculture and Food Research Initiative - Foundational and Applied Science Program.
Status
(Ongoing)
Last Modified 4/6/23
Period of Performance
5/1/23
Start Date
4/30/26
End Date
Funding Split
$4.0M
Federal Obligation
$0.0
Non-Federal Obligation
$4.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 20236801739402
Additional Detail
Award ID FAIN
20236801739402
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
12348S INSTITUTE OF BIOENERGY, CLIMATE, AND ENVIRONMENT (IBCE)
Funding Office
12348S INSTITUTE OF BIOENERGY, CLIMATE, AND ENVIRONMENT (IBCE)
Awardee UEI
QDE5UHE5XD16
Awardee CAGE
4B976
Performance District
Not Applicable
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Education Activities, National Institute of Food and Agriculture, Agriculture (012-1500) | Agricultural research and services | Grants, subsidies, and contributions (41.0) | $4,000,000 | 100% |
Modified: 4/6/23