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Source: IRS Form 990 via ProPublica Nonprofit Explorer
Total Revenue
▼$5.7M
Total Contributions
$28.8K
Total Expenses
▼$6.2M
Total Assets
$1.1M
Total Liabilities
▼$1.7M
Net Assets
-$572K
Officer Compensation
→$0
Other Salaries
$2.9M
Investment Income
▼$0
Fundraising
▼$0
Source: USAspending.gov · Searched by organization name
Total Federal Funding
$9.1M
Awards Found
8
| Awarding Agency | Description | Amount | Fiscal Year | Period |
|---|---|---|---|---|
| Department of Energy | BIPARTISAN INFRASTRUCTURE LAW (BIL): RED HILLS CO2 STORAGE HUB (RHCSH) FEASIBILITY STUDY THE OBJECTIVE OF THE PROJECT IS TO GENERATE INFORMATION TO CONFIRM THE SUITABILITY OF RED HILLS CO2 STORAGE HUB (RHCSH) FOR COMMERCIAL-SCALE CARBON DIOXIDE (CO2) STORAGE AND THE ABILITY OF THE LOCATION TO SAFELY ACCOMMODATE THE STORAGE OF AT LEAST 50 MILLION METRIC TONS (MMT) OF CO2 OVER 30 YEARS. THIS WILL BE ACCOMPLISHED BY INVESTIGATING THE FEASIBILITY OF CONSTRUCTING A SAFE, COST-EFFECTIVE, COMMERCIAL-SCALE ONSHORE STORAGE HUB TO STORE CAPTURED CO2. THE OVERALL OBJECTIVE WILL BE MET BY DEFINING AND ASSESSING A STORAGE COMPLEX THROUGH COLLECTING AND ANALYZING GEOLOGIC DATA, SUBSURFACE MODELING TO SUPPORT GEOLOGIC CHARACTERIZATION, IDENTIFYING CONTRACTUAL AND REGULATORY REQUIREMENTS AND DEVELOPMENT OF PLANS TO SATISFY THEM, CONDUCTING A PRELIMINARY RISK ASSESSMENT AND DEVELOPING MITIGATION AND MANAGEMENT PLANS, ASSESSING THE PROJECT’S TECHNICAL AND ECONOMIC FEASIBILITY, AND FULFILLING THE COMMUNITY BENEFITS COMMITMENTS. | $8.6M | FY2024 | Sep 2024 – Sep 2026 |
| National Science Foundation | STTR PHASE I: COMMERCIAL APPLICATIONS OF CROPMAP (MONITORING, ANALYSIS, AND PREDICTION) FOR OIL SEED FIELDS -THE BROADER/COMMERCIAL IMPACT OF THIS SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PHASE I PROJECT INVOLVES THE DEVELOPMENT AND EVALUATION OF THE CROP ECOSYSTEM MONITORING, ANALYSIS, AND PREDICTION (CROPMAP) TOOL. THIS PROJECT ADDRESSES THE CRITICAL NEED TO SUPPORT FOOD SECURITY PROFITABILITY BY OPTIMIZING RESOURCE MANAGEMENT AND DECISION-MAKING THROUGH ADVANCED MONITORING AND PREDICTIVE ANALYTICS IN CROP PRODUCTION. THE SIGNIFICANCE OF THIS RESEARCH LIES IN ITS POTENTIAL TO ENHANCE AGRICULTURAL PRODUCTIVITY AND SUSTAINABILITY ACROSS THE UNITED STATES, THEREBY IMPROVING THE LIVES OF FARMERS BY INCREASING YIELD OUTPUTS AND REDUCING LOSSES. FURTHERMORE, THE SUCCESSFUL COMMERCIALIZATION OF CROPMAP COULD GENERATE SUBSTANTIAL ECONOMIC BENEFITS, INCLUDING INCREASED TAX REVENUES AND JOB CREATION IN THE AGRICULTURAL SECTOR. BY ALIGNING WITH NSF?S MISSION TO ADVANCE THE PROGRESS OF SCIENCE, THIS PROJECT CONTRIBUTES TO THE SCIENTIFIC UNDERSTANDING OF AGRICULTURAL ECOSYSTEMS AND IMPACTS RELATED FIELDS SUCH AS ENVIRONMENTAL SCIENCE AND ECONOMICS. THIS PROJECT REPRESENTS A SIGNIFICANT TECHNICAL INNOVATION IN THE FIELD OF PRECISION AGRICULTURE THROUGH THE DEVELOPMENT OF THE CROPMAP TOOL, A HIGH-RISK EFFORT WITH SUBSTANTIAL POTENTIAL FOR HIGH IMPACT. CROPMAP INTEGRATES NOVEL ALGORITHMS AND MODELS WITH REAL-TIME DATA FEEDS FOR ENHANCED MONITORING AND PREDICTIVE ANALYTICS OF CROP CONDITIONS. THE PRIMARY INNOVATION INVOLVES THE APPLICATION OF MACHINE LEARNING TECHNIQUES TO SATELLITE IMAGES AND CLIMATE DATA TO PREDICT CROP YIELDS, WATER USAGE, AND SOIL HEALTH MORE ACCURATELY THAN CURRENT METHODS ALLOW AND THE USE OF ARTIFICIAL INTELLIGENCE TO MAKE ACTIONABLE INSIGHTS TIMELY AVAILABLE TO TECHNICAL AND NON-TECHNICAL USERS. THE GOALS OF THIS PROJECT ARE TO VALIDATE THESE MODELS' EFFECTIVENESS IN REAL-WORLD SETTINGS AND TO ESTABLISH A SCALABLE FRAMEWORK FOR ITS APPLICATION ACROSS VARIOUS AGRICULTURAL CONTEXTS. THE PROJECT WILL EMPLOY RIGOROUS METHODOLOGICAL APPROACHES, INCLUDING THE USE OF TIME-SERIES IMAGE ANALYTICS AND DATA-DRIVEN DIAGNOSTIC MODELS, TO ACHIEVE THESE OBJECTIVES. THROUGH ITS FOCUS ON INNOVATION AND SCALABILITY, THE PROJECT AIMS TO SET A NEW STANDARD IN AGRICULTURAL PRACTICES, ULTIMATELY FACILITATING BETTER RESOURCE MANAGEMENT AND SUSTAINABILITY. 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.- SUBAWARDS ARE PLANNED FOR THIS AWARD. | $275K | FY2025 | Oct 2024 – Jun 2026 |
| Agency for International Development | AWARD FOR AGRICULTURE & ENERGY | $100K | FY2013 | Jun 2013 – Jun 2014 |
| Department of Agriculture | REAP RENEWABLE ENERGY SYSTEM (RES) GRANT UNRESTRICTED AMOUNT - IRA 24/31 | $85.7K | FY2024 | Aug 2024 – Aug 2026 |
| Department of Agriculture | SEC 9007 REAP-RENEW ENERGY SYSTEMS GRANTS, $20,000 OR LESS (MAN) | $7,481.25 | FY2016 | Feb 2016 – Feb 2018 |
| Department of Agriculture | SEC. 9007 REAP-ENERGY EFFICIENCY IMPROVEMENTS GRANTS (MAN) | $4,724.02 | FY2018 | Aug 2018 – Aug 2020 |
| Department of Agriculture | SEC 9007 REAP-RENEW ENERGY EFFICIENCY IMPROVE GRANTS, $20,000 OR LESS (MAN) | $2,648 | FY2016 | Jan 2016 – Jan 2018 |
| Department of Agriculture | REAP ENERGY EFFICIENCY IMPROVEMENT (EEI) GRANT $20K AND LESS | $0 | FY2024 | Mar 2024 – Mar 2026 |
Department of Energy
$8.6M
BIPARTISAN INFRASTRUCTURE LAW (BIL): RED HILLS CO2 STORAGE HUB (RHCSH) FEASIBILITY STUDY THE OBJECTIVE OF THE PROJECT IS TO GENERATE INFORMATION TO CONFIRM THE SUITABILITY OF RED HILLS CO2 STORAGE HUB (RHCSH) FOR COMMERCIAL-SCALE CARBON DIOXIDE (CO2) STORAGE AND THE ABILITY OF THE LOCATION TO SAFELY ACCOMMODATE THE STORAGE OF AT LEAST 50 MILLION METRIC TONS (MMT) OF CO2 OVER 30 YEARS. THIS WILL BE ACCOMPLISHED BY INVESTIGATING THE FEASIBILITY OF CONSTRUCTING A SAFE, COST-EFFECTIVE, COMMERCIAL-SCALE ONSHORE STORAGE HUB TO STORE CAPTURED CO2. THE OVERALL OBJECTIVE WILL BE MET BY DEFINING AND ASSESSING A STORAGE COMPLEX THROUGH COLLECTING AND ANALYZING GEOLOGIC DATA, SUBSURFACE MODELING TO SUPPORT GEOLOGIC CHARACTERIZATION, IDENTIFYING CONTRACTUAL AND REGULATORY REQUIREMENTS AND DEVELOPMENT OF PLANS TO SATISFY THEM, CONDUCTING A PRELIMINARY RISK ASSESSMENT AND DEVELOPING MITIGATION AND MANAGEMENT PLANS, ASSESSING THE PROJECT’S TECHNICAL AND ECONOMIC FEASIBILITY, AND FULFILLING THE COMMUNITY BENEFITS COMMITMENTS.
National Science Foundation
$275K
STTR PHASE I: COMMERCIAL APPLICATIONS OF CROPMAP (MONITORING, ANALYSIS, AND PREDICTION) FOR OIL SEED FIELDS -THE BROADER/COMMERCIAL IMPACT OF THIS SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PHASE I PROJECT INVOLVES THE DEVELOPMENT AND EVALUATION OF THE CROP ECOSYSTEM MONITORING, ANALYSIS, AND PREDICTION (CROPMAP) TOOL. THIS PROJECT ADDRESSES THE CRITICAL NEED TO SUPPORT FOOD SECURITY PROFITABILITY BY OPTIMIZING RESOURCE MANAGEMENT AND DECISION-MAKING THROUGH ADVANCED MONITORING AND PREDICTIVE ANALYTICS IN CROP PRODUCTION. THE SIGNIFICANCE OF THIS RESEARCH LIES IN ITS POTENTIAL TO ENHANCE AGRICULTURAL PRODUCTIVITY AND SUSTAINABILITY ACROSS THE UNITED STATES, THEREBY IMPROVING THE LIVES OF FARMERS BY INCREASING YIELD OUTPUTS AND REDUCING LOSSES. FURTHERMORE, THE SUCCESSFUL COMMERCIALIZATION OF CROPMAP COULD GENERATE SUBSTANTIAL ECONOMIC BENEFITS, INCLUDING INCREASED TAX REVENUES AND JOB CREATION IN THE AGRICULTURAL SECTOR. BY ALIGNING WITH NSF?S MISSION TO ADVANCE THE PROGRESS OF SCIENCE, THIS PROJECT CONTRIBUTES TO THE SCIENTIFIC UNDERSTANDING OF AGRICULTURAL ECOSYSTEMS AND IMPACTS RELATED FIELDS SUCH AS ENVIRONMENTAL SCIENCE AND ECONOMICS. THIS PROJECT REPRESENTS A SIGNIFICANT TECHNICAL INNOVATION IN THE FIELD OF PRECISION AGRICULTURE THROUGH THE DEVELOPMENT OF THE CROPMAP TOOL, A HIGH-RISK EFFORT WITH SUBSTANTIAL POTENTIAL FOR HIGH IMPACT. CROPMAP INTEGRATES NOVEL ALGORITHMS AND MODELS WITH REAL-TIME DATA FEEDS FOR ENHANCED MONITORING AND PREDICTIVE ANALYTICS OF CROP CONDITIONS. THE PRIMARY INNOVATION INVOLVES THE APPLICATION OF MACHINE LEARNING TECHNIQUES TO SATELLITE IMAGES AND CLIMATE DATA TO PREDICT CROP YIELDS, WATER USAGE, AND SOIL HEALTH MORE ACCURATELY THAN CURRENT METHODS ALLOW AND THE USE OF ARTIFICIAL INTELLIGENCE TO MAKE ACTIONABLE INSIGHTS TIMELY AVAILABLE TO TECHNICAL AND NON-TECHNICAL USERS. THE GOALS OF THIS PROJECT ARE TO VALIDATE THESE MODELS' EFFECTIVENESS IN REAL-WORLD SETTINGS AND TO ESTABLISH A SCALABLE FRAMEWORK FOR ITS APPLICATION ACROSS VARIOUS AGRICULTURAL CONTEXTS. THE PROJECT WILL EMPLOY RIGOROUS METHODOLOGICAL APPROACHES, INCLUDING THE USE OF TIME-SERIES IMAGE ANALYTICS AND DATA-DRIVEN DIAGNOSTIC MODELS, TO ACHIEVE THESE OBJECTIVES. THROUGH ITS FOCUS ON INNOVATION AND SCALABILITY, THE PROJECT AIMS TO SET A NEW STANDARD IN AGRICULTURAL PRACTICES, ULTIMATELY FACILITATING BETTER RESOURCE MANAGEMENT AND SUSTAINABILITY. 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.- SUBAWARDS ARE PLANNED FOR THIS AWARD.
Agency for International Development
$100K
AWARD FOR AGRICULTURE & ENERGY
Department of Agriculture
$85.7K
REAP RENEWABLE ENERGY SYSTEM (RES) GRANT UNRESTRICTED AMOUNT - IRA 24/31
Department of Agriculture
$7,481.25
SEC 9007 REAP-RENEW ENERGY SYSTEMS GRANTS, $20,000 OR LESS (MAN)
Department of Agriculture
$4,724.02
SEC. 9007 REAP-ENERGY EFFICIENCY IMPROVEMENTS GRANTS (MAN)
Department of Agriculture
$2,648
SEC 9007 REAP-RENEW ENERGY EFFICIENCY IMPROVE GRANTS, $20,000 OR LESS (MAN)
Department of Agriculture
$0
REAP ENERGY EFFICIENCY IMPROVEMENT (EEI) GRANT $20K AND LESS
Source: Federal Audit Clearinghouse (fac.gov)
No federal single audit records found for this organization.
Single audits are required for entities expending $750,000+ in federal awards annually.
Source: IRS e-Filed Form 990
No officer or director compensation data available for this organization.
This data is sourced from IRS Form 990, Part VII. It may not be available if the organization files Form 990-N (e-Postcard) or has not yet been enriched.
Source: IRS Publication 78, Auto-Revocation List & e-Postcard Data
Tax-deductible contributions: Yes
Deductibility code: SOUNK
Sources: IRS e-Filed Form 990 (XML) & ProPublica Nonprofit Explorer
Scroll →
| Year | Revenue | Contributions | Expenses | Assets | Net Assets |
|---|---|---|---|---|---|
| 2024 | $5.7M | $28.8K | $6.2M | $1.1M | -$572K |
| 2023 | $4.3M | $33.5K | $4.8M | $1M | -$41.6K |
| 2022 | $3.7M | $539.3K | $4.3M | $1.2M | $450.9K |
| 2021 | $3.7M | $85.4K | $4M | $1.6M |
Sources: ProPublica Nonprofit Explorer & IRS e-File Index
| Tax Year | Form Type | Source | Documents |
|---|---|---|---|
| 2025 | 990 | IRS e-File | PDF not yet published by IRSView Filing → |
| 2024 | 990 | DataIRS e-File | |
| 2023 | 990 | DataIRS e-File |
Financial data: IRS Form 990 via ProPublica Nonprofit Explorer (Tax Year 2024)
Federal grants: USAspending.gov (live)
Organization info: IRS Business Master File · ProPublica Nonprofit Explorer
Tax-deductibility: IRS Publication 78
| $1.1M |
| 2020 | $4.7M | $364.9K | $4.5M | $1.7M | $1.4M |
| 2019 | $4.3M | $7,884 | $4.2M | $1.5M | $1.2M |
| 2018 | $3.5M | $29.9K | $3.3M | $1.3M | $1.1M |
| 2017 | $3M | $46.8K | $2.7M | $985.9K | $857.6K |
| 2016 | $3.1M | $47.1K | $2.8M | $726.2K | $581.6K |
| 2015 | $2.5M | $18.7K | $2.4M | $548.5K | $250.7K |
| 2014 | $2.6M | $13K | $2.5M | $530.7K | $197.6K |
| 2013 | $2.3M | $497 | $2.2M | $426.8K | $132.7K |
| 2022 | 990 | Data |
| 2021 | 990 | Data |
| 2020 | 990 | Data |
| 2019 | 990 | Data |
| 2018 | 990 | Data |
| 2017 | 990 | Data |
| 2016 | 990 | Data |
| 2015 | 990 | Data |
| 2014 | 990 | Data |
| 2013 | 990 | Data | PDF not yet published by IRS |
| 2012 | 990 | — |