2155110
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: Low-Cost In-Planta Nitrate Sensor - The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to provide farmers with a low-cost plant sensor for direct, instantaneous measurement of nitrate-nitrogen (N) levels in crop sap. Widespread adoption of the sensor could support cost-effective and improved N fertilizer management, which may increase farmers' productivity and profitability.
Low-cost, instantaneous nitrate testing readouts from plant stalks will provide more actionable information to guide farmers' fertilization decisions than current methods to test N levels in soil (e.g., collect soil samples, ship them to lab, and then wait ~1 week for lab analysis). The improvements in fertilizer-management decisions, enabled by more accessible and more actionable data, have the potential to reduce total N fertilizer applications in the US by some 2 million tons annually.
This large reduction in N fertilizer applications would decrease the energy footprint of agriculture, reduce emissions of nitrous oxide, a greenhouse gas 300 times as potent as carbon dioxide, and improve water quality through reductions in N runoff, improving ecosystem services and human health through improved rural water quality and the reduction in hypoxic dead zones.
The proposed project represents an innovation in the function and application of an in planta nitrate sensor. The project goals are to: I) improve the sensor for reliable deployment in field measurements; II) conduct research in farmers' fields to develop predictive models that input nitrate levels from sensor measurements of corn stalks and other data to output N fertilization recommendations; and III) build a lab-based multi-probe nitrate sensor that extends the work to other crops in the existing plant and soil testing market.
Anticipated results are that the data from the sensors will be used to build predictive models that output optimum N fertilization recommendations that will outperform conventional models. The accomplishment of this goal will lead to the commercialization of rugged low-cost sensors that provide rapid measurements of plant sap nitrate. This ability will make it possible to provide farmers with low-cost fertilizer recommendations based on data-driven, predictive modeling of N demand.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Low-cost, instantaneous nitrate testing readouts from plant stalks will provide more actionable information to guide farmers' fertilization decisions than current methods to test N levels in soil (e.g., collect soil samples, ship them to lab, and then wait ~1 week for lab analysis). The improvements in fertilizer-management decisions, enabled by more accessible and more actionable data, have the potential to reduce total N fertilizer applications in the US by some 2 million tons annually.
This large reduction in N fertilizer applications would decrease the energy footprint of agriculture, reduce emissions of nitrous oxide, a greenhouse gas 300 times as potent as carbon dioxide, and improve water quality through reductions in N runoff, improving ecosystem services and human health through improved rural water quality and the reduction in hypoxic dead zones.
The proposed project represents an innovation in the function and application of an in planta nitrate sensor. The project goals are to: I) improve the sensor for reliable deployment in field measurements; II) conduct research in farmers' fields to develop predictive models that input nitrate levels from sensor measurements of corn stalks and other data to output N fertilization recommendations; and III) build a lab-based multi-probe nitrate sensor that extends the work to other crops in the existing plant and soil testing market.
Anticipated results are that the data from the sensors will be used to build predictive models that output optimum N fertilization recommendations that will outperform conventional models. The accomplishment of this goal will lead to the commercialization of rugged low-cost sensors that provide rapid measurements of plant sap nitrate. This ability will make it possible to provide farmers with low-cost fertilizer recommendations based on data-driven, predictive modeling of N demand.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding Agency
Place of Performance
Ames,
Iowa
50011-1085
United States
Geographic Scope
Single Zip Code
Related Opportunity
NOT APPLICABLE
Analysis Notes
Amendment Since initial award the End Date has been shortened from 04/30/25 to 09/30/24 and the total obligations have decreased 67% from $998,683 to $327,151.
Engeniousag was awarded
Cooperative Agreement 2155110
worth $327,151
from in May 2023 with work to be completed primarily in Ames Iowa United States.
The grant
has a duration of 1 year 4 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:Low-cost in-planta nitrate sensor
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to provide farmers with a low-cost plant sensor for direct, instantaneous measurement of nitrate-nitrogen (N) levels in crop sap. Widespread adoption of the sensor could support cost-effective and improved N fertilizer management, which may increase farmers’ productivity and profitability. Low-cost, instantaneous nitrate testing readouts from plant stalks will provide more actionable information to guide farmers’ fertilization decisions than current methods to test N levels in soil (e.g., collect soil samples, ship them to lab, and then wait ~1 week for lab analysis). The improvements in fertilizer-management decisions, enabled by more accessible and more actionable data, have the potential to reduce total N fertilizer applications in the US by some 2 million tons annually. This large reduction in N fertilizer applications would decrease the energy footprint of agriculture, reduce emissions of nitrous oxide, a greenhouse gas 300 times as potent as carbon dioxide, and improve water quality through reductions in N runoff, improving ecosystem services and human health through improved rural water quality and the reduction in hypoxic dead zones._x000D__x000D_
_x000D_
The proposed project represents an innovation in the function and application of an in planta nitrate sensor. The project goals are to: i) improve the sensor for reliable deployment in field measurements; ii) conduct research in farmers’ fields to develop predictive models that input nitrate levels from sensor measurements of corn stalks and other data to output N fertilization recommendations; and iii) build a lab-based multi-probe nitrate sensor that extends the work to other crops in the existing plant and soil testing market. Anticipated results are that the data from the sensors will be used to build predictive models that output optimum N fertilization recommendations that will outperform conventional models. The accomplishment of this goal will lead to the commercialization of rugged low-cost sensors that provide rapid measurements of plant sap nitrate. This ability will make it possible to provide farmers with low-cost fertilizer recommendations based on data-driven, predictive modeling of N demand._x000D_
_x000D_
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
BT
Solicitation Number
NSF 21-565
Status
(Complete)
Last Modified 10/8/24
Period of Performance
5/1/23
Start Date
9/30/24
End Date
Funding Split
$327.2K
Federal Obligation
$0.0
Non-Federal Obligation
$327.2K
Total Obligated
Activity Timeline
Transaction History
Modifications to 2155110
Additional Detail
Award ID FAIN
2155110
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
GS5EFJ9D4MC7
Awardee CAGE
840F2
Performance District
IA-04
Senators
Charles Grassley
Joni Ernst
Joni Ernst
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $998,683 | 100% |
Modified: 10/8/24