Real-Time Soil Carbon Monitoring for Sustainable Agriculture
Our advanced software transforms your existing soil-moisture sensor to estimate accurate soil moisture, organic matter, and even CO₂ emissions in real time, helping farmers optimize yields while reducing environmental impact—no additional hardware or instrument upgrades required.
Comprehensive Soil Monitoring
Our integrated sensor technology provides critical data on soil health and carbon dynamics that was previously impossible to measure in real-time.
Precise measurement of soil moisture levels to optimize irrigation and prevent water stress or wastage.
Real-time tracking of soil organic matter (OM) levels, a key factor in both carbon emissions and crop yield.
Continuous monitoring of soil CO₂ emissions to understand carbon dynamics and environmental impact.
AI-powered insights that correlate soil conditions with crop performance and carbon sequestration.
Access comprehensive soil data from anywhere with our intuitive mobile and web applications.
Track your farm's carbon footprint and identify opportunities for more sustainable practices.
Balancing Productivity and Sustainability
Our solution helps farmers optimize resource use while reducing environmental impact, creating a win-win for agriculture and the planet.
Optimized Crop Yields
By understanding the relationship between soil organic matter and crop growth, farmers can increase yields by 20-30%.
Precision Resource Management
Tailor water and nutrient inputs based on real-time soil conditions, reducing waste and costs by up to 40%.
Reduced Carbon Emissions
Monitor and manage soil CO₂ fluxes to minimize greenhouse gas emissions from agricultural operations.
Sustainable Soil Health
Maintain optimal soil organic matter levels for long-term productivity and carbon sequestration.
Simple Process to Upgrade Your Soil Monitoring
Get precision soil insights with just a few simple steps - no hardware upgrades needed.
You Send Data
Submit your existing soil moisture data along with your farm's location information
We Return Enhanced Insights
Receive accuracy-improved soil moisture, organic matter measurements, and CO₂ metrics powered by our AI solution
What You Get
Enhanced Soil Moisture
Accuracy improved by 20-30% through our AI calibration system
Soil Organic Matter
Detailed OM maps and metrics derived from your existing sensors
CO₂ Measurements
Real-time carbon dynamics without specialized gas analyzers
No additional hardware required. Works with your existing soil moisture sensors.
Soil Moisture Sensor-Based Carbon-Smart Agriculture
Our networked sensor system transforms traditional agriculture through advanced soil monitoring and analytics.
Carbon-Losing Soils
Traditional farming often results in dry, carbon-losing soil conditions that reduce crop yields and contribute to greenhouse gas emissions.
Smart Monitoring Network
Our dual-function SM-OM sensors, powered by machine learning and optical estimation, provide real-time soil condition data across your entire farm.
Carbon-Sequestering Results
Data-driven decisions lead to optimal soil moisture and organic matter levels, creating carbon-sequestering conditions that benefit both crops and climate.
Scientifically Validated
Our technology is backed by extensive research across diverse agricultural environments.
| Year | Sites Analyzed | Success Rate | Avg OMmap r | Avg OM_inv r | Improvement |
|---|---|---|---|---|---|
| 2018 | 41 | 90.2% | 0.399 | 0.481 | 20.6% |
| 2019 | 41 | 85.4% | 0.191 | 0.614 | 221.5% |
Applications of Soil CO₂ Monitoring Technology
| Application Area | Key Advantages |
|---|---|
| Landfill monitoring | Using only soil-moisture sensors, operators can simultaneously prevent leachate and cracking, cut greenhouse-gas emissions, and meet regulatory requirements. |
| Smart plant factory (CEA) | Real-time soil-moisture and CO₂ data automate irrigation, ventilation, and CO₂ injection, maximizing photosynthetic efficiency as well as crop quality and yield. |
| Precision irrigation & open-field crop cultivation | One sensor provides irrigation timing/volume, crop water-stress, and soil respiration information—enabling precision irrigation that saves water and reduces carbon-use inefficiency. |
| Peatland & wetland restoration monitoring | Concurrent moisture-CO₂ monitoring offers a cost-effective way to verify restoration success and secure MRV (Measurement/Reporting/Verification) of greenhouse-gas reductions. |
| Eddy-covariance flux-tower networks | A single soil-moisture sensor that captures tower-to-bottom CO₂ fluxes plus subsurface moisture dynamics greatly reduces uncertainty in ecosystem water-exchange estimates. |
| Carbon capture & storage CO₂ leakage surveillance | Combined soil-moisture + CO₂ sensing functions as an early-warning, risk-management tool for assuring site integrity. |
| Climate-smart forestry & reforestation carbon-sink projects | Existing soil-moisture sensor networks deliver real-time coupled water-carbon indicators, enhancing both credibility and investment appeal of climate-smart forestry projects. |
| Smart-city & urban green-infrastructure management | With only software upgrades, current soil-moisture sensors can optimize irrigation (water savings), inform CO₂-flux-based carbon-neutrality strategies, and enable smart-park management. |
| Biochar & soil amendment efficacy trials | Sensors in pots or lysimeters continuously track ∆soil moisture and ∆CO₂ emission, quantitatively verifying (i) water-retention gains per treatment, (ii) soil-respiration and net carbon-reduction efficiency, and (iii) fertilizer/irrigation savings—serving as ground-truth support for MRV data. |
| Permafrost thaw & tundra carbon-emission studies | High-resolution profiling of active-layer moisture/ice content cuts parameter uncertainty in carbon-water-energy models and markedly improves tundra carbon-feedback assessments. |
Key Findings:
- Our OM_inv technology showed significantly higher correlation with soil CO₂ fluxes compared to traditional mapping methods
- Real-time organic matter measurement enables more accurate prediction of carbon emissions and crop yield potential
- The technology performed consistently across diverse soil types and agricultural environments
Research Publications
Our technology is backed by peer-reviewed research published in leading scientific journals.
New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves
Park, C.-H., Behrendt, A., LeDrew, E., & Wulfmeyer, V. (2017). Remote Sensing, 9(7), 732.
https://www.mdpi.com/2072-4292/9/7/732A dielectric mixing model accounting for soil organic matter
Park, C.-H., Montzka, C., Jagdhuber, T., Jonard, F., De Lannoy, G., Hong, J., ... & Vereecken, H. (2019). Vadose Zone Journal, 18(1), 1-19.
https://acsess.onlinelibrary.wiley.com/doi/full/10.2136/vzj2019.04.0036Parameterization of Vegetation Scattering Albedo in the Tau-Omega Model for Soil Moisture Retrieval on Croplands
Park, C.-H., & Heremans, S. (2020). Remote Sensing, 12(18), 2939.
https://www.mdpi.com/2072-4292/12/18/2939An inverse dielectric mixing model at 50 MHz that considers soil organic Carbon and CO₂-Emission Sensing Method
Park, C.-H., Behrendt, A., LeDrew, E., & Wulfmeyer, V. (2020). Remote Sensing, 12(14), 2346.
https://scholar.google.at/citations?view_op=view_citation&hl=en&user=i1NRc2EAAAAJ&citation_for_view=i1NRc2EAAAAJ:LkGwnXOMwfcCRetrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to τ-ω model
Park, C.-H., et al. (2024). Science of The Total Environment, 112, 156321.
https://www.sciencedirect.com/science/article/pii/S2666017224000154Simultaneous Estimation of Soil Moisture and Soil Organic Matter from Dielectric Measurements - Part 1: An Optimal Estimation Strategy
Park, C.-H., et al. (2024). SSRN Electronic Journal.
http://ssrn.com/abstract=5201529Simultaneous Estimation of Soil Moisture and Soil Organic Matter from in Situ Dielectric - Part 2: Application of Optimal Estimation and Machine Learning Approaches
Park, C.-H., et al. (2024). SSRN Electronic Journal.
http://ssrn.com/abstract=5201530Patents
Our proprietary technology is protected by multiple patents and patent applications.
METHOD FOR CALIBRATING SOIL MOISTURE SENSORS
Park, C. H. (R0420KR) (May 2024)
SOIL ORGANIC MATTER SENSING METHOD USING MICROWAVE BRIGHTNESS TEMPERATURE
Park, C. H. PATENT APPLICATION (PCT/KR2025/003506) (June 2024)
METHOD FOR ESTIMATING OPTIMAL SOIL MOISTURE USING VEGETATION-PENETRATING MICROWAVE
Park, C. H. PATENT APPLICATION (10-2024-0065833) (July 2024)
ORGANIC CARBON EXTRACTION METHOD BASED ON MICROWAVE SOIL MOISTURE SENSOR
Park, C. H. PATENT APPLICATION (10-2024-0108796) (Aug 2024)
REFINING SATELLITE-BASED SOIL MOISTURE ESTIMATIONS USING MACHINE LEARNING SELECTED DYNAMIC FEATURE
Park, C. H. PATENT APPLICATION (10-2024-0142918) (Oct 2024)
SPATIOTEMPORAL HIGH-RESOLUTION ORGANIC MATTER ESTIMATION USING SAR DIELECTRIC
Park, C. H. PATENT APPLICATION (10-2024-0142918) (Oct 2024)
HYBRID MODEL FOR SOIL CO2 EMISSIONS AND CROP YIELD OPTIMIZATION WITH SOIL ORGANIC MATTER MONITORING
Park, C. H. PATENT PENDING
Ready to Transform Your Agricultural Practices?
Join forward-thinking farmers who are optimizing yields while reducing their environmental impact with SoilMetric.AI.
No additional hardware required. Works with your existing soil moisture sensors.