Credible. Evidenced. Valued.
Soil health, food security and climate change are inextricably linked. Healthy soils improve agricultural performance, hold more water and store more carbon. We measure them, field by field, year after year.
A future-proofed ecosystem.
Ecometric has brought together the very best of soil science, computer science and remote sensing tools to create a new analytics ecosystem that improves on the cost and accuracy of both traditional sampling systems and assumption-based soil models. Physical soil samples anchor the system to ground truth and continually broaden the AI training and quantification accuracy over global crop and soil types.
The image above shows the difference between a pure soil sample report, where there is only data at the point of sampling, and the Ecometric report, where our AI relates soil sample and spectral information to provide a data point every 10 metres. How soil carbon is measured, step by step.
Key Features
The importance of best practice: Commitment to continuous improvement
Ecometric’s methodology is subject to a constant improvement cycle under the governance of the Regen Registry’s rigorous independent scientific review, enabling high levels of technical agility under a carefully controlled governance structure. This is why ecometric is your long-term partner.
The return on AI learning: Understanding your soil, in advance
Ecometric’s AI system continually learns from every cycle of soil and spectral sampling to guarantee quantification accuracy. AI accuracy is measurable against withheld soil sample results to quantify and deduct error from any SOC gains. Designing within the limits of allowable error-ranges achieves soil sampling densities that optimise accuracy and affordability for every project. This enables Ecometric to deliver large-area projects cost effectively at defined and reported accuracy levels.
The value of satellite and AI: High density mapping
Physical sampling is time consuming and costly to deliver at a density that takes account of the significant in-field spatial variation. This is where the additional spectral sampling of ecometric’s system at a density of 100 points per hectare adds significantly to the total sample numbers, improving quantification accuracy over a soil sampling-only system.
The danger of modelling versus measuring: Amplification of error
Activity based soil carbon models that allocate sequestration rates according to planned management practices are not accurate enough to support farm management decisions or quantify organic carbon stock change. By measuring SOC stocks annually, ecometric reports actual rather than assumed SOC change, to support both farm-system decisions and accurate carbon accounting. The same measured approach has passed the most demanding buyer audits and earned Regen Registry accreditation.
The accuracy of physical and virtual: Highest Quality Data
With physical sampling to calibrate and train their AI system, quantification accuracy remains tethered to ground truth. Error is carefully evaluated through the methodology and deducted in full to ensure the most conservative result, which is a key component of integrity whether the result is used to manage the farm, report to a buyer or issue a credit. How the error is measured and deducted.
Grow
Ready to measure your soil, field by field? Send us your SBI number and hectares and we will send a written quote within two working days.
