Real-time soil carbon sequestration monitoring using microbial sensors, iot, and AI analytics
A non-invasive monitoring solution that combines microbial potentiometric sensors (MPS), IoT connectivity, and machine learning to measure soil carbon levels in real time. The system addresses spatial and temporal uncertainties in current soil-carbon monitoring practices, enabling accurate tracking of carbon sequestration in agricultural and environmental applications.
Overview
This solution offers a complete, non-invasive monitoring system for soil carbon sequestration, integrating microbial potentiometric sensor (MPS) technology with Internet of Things (IoT) connectivity and artificial intelligence/machine learning (AI/ML) analytics. Conventional soil-carbon monitoring methods rely on discrete sampling that introduces significant spatial and temporal uncertainties, making it difficult to accurately track carbon changes across crop-growing environments. By deploying arrays of microbial sensors that generate continuous signals from the unsaturated and rhizosphere zones, the system captures real-time data on organic carbon dynamics. Machine learning algorithms then interpret and calibrate these spatial-temporal signal patterns to produce reliable, real-time measurements of soil carbon levels and related parameters.
Technical specifications
Key features:
- Microbial potentiometric sensors (MPS): Detect organic carbon levels in soil, water, and sludge matrices through biological signal generation
- IoT-enabled sensor arrays: Provide continuous, distributed data collection across field deployments without invasive sampling
- AI/ML signal analytics: Decipher and calibrate spatial-temporal signal patterns to quantify soil carbon changes and predict sequestration trends
- Carbon sequestration modeling: Develop quantitative models linking sensor signal patterns to changes in soil carbon levels
- Validated across multiple matrices: Peer-reviewed results demonstrate suitability for water, sludge, and soil environments, including a real-world deployment in an Arizona canal aquatic system
Technology readiness level
The core MPS technology has been validated through published peer-reviewed research across water, sludge, and soil matrices, including a demonstrated real-world aquatic system deployment. A proof-of-concept study is proposed with three objectives: establishing signal baselines under controlled plant-growth conditions, introducing discrete carbon pulse injections to calibrate MPS response patterns, and developing predictive carbon sequestration models. The system is positioned for agricultural, environmental monitoring, and carbon credit verification applications, with ongoing validation needed to refine model accuracy for commercial-scale deployment.
About VizLore LLC
VizLore LLC is a technology company based in Scottsdale, Arizona, that specializes in research, development, and the application of advanced digital technologies. The company operates within a modular organizational framework known as the VisLogicus Group, which includes entities focused on research, education, and development. VizLore LLC bridges the gap between theoretical research and practical market applications by delivering solutions in fields such as Internet of Things (IoT), artificial intelligence, machine learning, blockchain, big data analytics, and digital twin technology. Its technical capabilities enable the company to offer services ranging from project consulting to the development of robust, scalable data-driven innovations.
By leveraging deep expertise in distributed data engineering and AI, VizLore LLC serves as an operational proponent for organizations seeking to advance high-potential technologies. The company provides acceleration-as-a-service to partners and licensees, focusing on rapid prototyping, robust validation, and the creation of clear go-to-market strategies to de-risk technological investments. Through its strategic initiatives and partnerships with universities globally, VizLore LLC also supports the development of future talent, creating educational and training programs that combine advanced research with hands-on applications in the hi-tech landscape. This integrated approach allows the company to address complex integration and intelligence challenges for its commercial and enterprise-level partners.
delivered to your inbox.