Quantum-enhanced spectroscopy for chelating agent detection
Leverage quantum computing to enhance the accuracy of chelating agent quantification using spectroscopy, aimed at improving analysis in agriculture and beyond.
Overview
Persistence Data Mining is pioneering the use of quantum computing to enhance the quantification of compounds through spectroscopy. This innovative approach aims to increase the accuracy of detecting chelating agents by identifying additional variables quickly, leveraging VNIR-SWIR reflectance spectroscopy. This technology has already shown promise in soil and post-harvest grain analysis, providing a robust foundation for further development.
Technical specifications
Key features:
- Utilizes VNIR-SWIR reflectance spectroscopy (350-2500nm) to detect spectral variations and add new variables for analysis.
- Quantum computing accelerates the identification of variables, improving the precision of compound quantification.
- Proven application in detecting nutrients and glyphosate in agricultural contexts, with potential expansion to other compounds.
Applications:
- Enhanced agricultural analysis, including soil nutrient assessment and grain analysis.
- Potential for broader applications in chemical detection and environmental monitoring.
Technology readiness level
The technology is currently at TRL 5, indicating that it has been validated in a relevant environment with existing applications in agricultural contexts. Further research and partnership are sought to expand datasets and refine database architecture for commercialization.
About Persistence Data Mining
Persistence Data Mining Inc., which rebranded as Soilytics Inc. in November 2024, is an AgTech company that provides advanced soil fertility diagnostics. The company developed the Soilytics platform, which utilizes proprietary hyperspectral imaging technology and advanced algorithms to replace traditional, time-intensive chemical soil testing with faster, physics-based analysis. This technology is designed to create accurate, granular soil nutrient maps, allowing farmers, agronomists, and land managers to optimize fertilizer application, improve crop yields, and enhance soil health while reducing environmental impacts such as runoff.
By offering near real-time insights into soil health and nutrient management, the company helps agricultural stakeholders navigate challenges such as soil degradation and rising input costs. Their solution is intended to streamline the process of creating prescription maps, moving beyond the inefficiencies of manual lab-based sampling. The company, which has been recognized with industry honors such as an R&D 100 Award, works with partners in the precision agriculture market to integrate its digital diagnostic capabilities into broader farming operations.
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