Soil measurement reimagined
Miraterra is digitizing and simplifying soil measurement, providing comprehensive data and insights in a fraction of the time and cost of conventional methods
TRANSFORMATIONAL FOR LABS
Testing soil is essential to soil health and it’s really hard work
Conventional soil testing: costly equipment, labor-intensive procedures, and a time-consuming sample preparation process. Additionally, the use of hazardous inputs introduces complexity in waste disposal, all adding to increased operational expenses.
ONE INSTRUMENT, NO PREP, MANY ANSWERS
Miraterra reduces operational costs
Our sensor unlocks unprecedented fast and affordable complex materials analysis for soil testing labs:
Experience precise, reproducible, digital measurements across diverse soil properties
Accurate
Experience real-time results and no sample prep, streamlining your soil analysis process
Faster
Slash capex, reduce operational costs, and swiftly boost soil testing capacity
Cheaper
Cleaner
Adopt zero-waste, non-destructive, chemical-free, eco-friendly testing
Ensure performance with remote sensor operation and maintenance
Easy Maintenance
Simplify soil testing with auto-focus, auto-calibration and continuous analysis
User-Friendly
Upgrade sensor abilities over time, without physical changes, thanks to our software-defined hardware
Ever Evolving
Modular, stackable design for compact soil analysis, extending from lab to field
Future Focused
SOIL INSIGHT AT THE PUSH OF A BUTTTON
How we digitize soil testing
Innovative technology reads the molecular fingerprint of your soil, providing accurate and precise information about the complete chemistry of every sample.
We’re building our capacity to pair data with insights generated from millions of data points and generations of farming expertise.
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Raman spectroscopy analyzes scattered light for molecular identification and characterization
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Leveraging advanced signal processing, computational chemistry, and machine learning, we achieve remarkable soil component identification down to parts-per-million precision
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To ensure quality, we “ground truth” our novel sensor with results from our ALP-proficient soil testing lab
TRUST MATTERS
How we deliver accuracy and precision
At Miraterra, trust is established through our scientific approach, rigorous testing, and data-centric methods. By combining novel hardware, computational chemistry, machine learning, and real-world data, we accurately determine soil composition at the parts-per-million level. Here's how we achieve it:
With computational chemistry, we created the world’s largest dataset of synthetic soil models representing soils worldwide so we can analyze each nutrient’s signature in the models. We then calibrate our synthetic soil models with real-world readings from our sensor.
We demonstrate instrument precision through repeat runs on our non-destructive process.
Millions of machine learning models compare sensor and synthetic data to lab results. We then ensure reliability through rigorous testing on thousands of soil samples using traditional instruments, aligning theory and practice.
We participate in soil lab proficiency programs like ALP and NAPT guaranteeing accurate results within their acceptable ranges.
TECHNOLOGY INNOVATION
Recent news
Machine Learning Analysis of Raman Spectra To Quantify the Organic Constituents in Complex Organic–Mineral Mixtures
Raman spectroscopy applied with machine learning quantifies the amino acid constituents of complex mixtures in the presence of interfering fluorescence and mineral features
Collaboration between Miraterra Inc. and the University of British Columbia
Our path to healthy soil is just beginning
THE FUTURE IS NOW
