S4 Mobile Laboratories developed the Subterra Green to create a more connected field-to-insight workflow. The mobile, in-situ soil spectroscopy platform helps teams collect precision, georeferenced soil data across your fields, then view and analyze mapped results through Subterra Insight™. This cuts costs, saves time, and increases the precision of your data helping you create more informed agronomic decisions.

The Subterra Green is S4 Mobile Laboratories’ mobile, in-situ soil spectroscopy platform for agricultural and environmental applications. It brings in-situ measurement, mapping, and analysis directly to the field.

Irrigated specialty crops don't run on a seasonal clock, and neither do the input costs tied to managing them. Farm-level fertilizer and fuel costs have climbed 20% to 40% depending on the operation and input mix over the past several months, driven by nitrogen and diesel price spikes tied to global supply disruption.¹ For high-value permanent crops like almonds, pistachios, and citrus, where a single soil management misstep carries real economic consequence — that cost press

Soil carbon MRV has a data quality problem that's becoming harder to paper over. Industry analysis of the MRV landscape points directly to "measurement theater" - protocols that satisfy a checklist without producing data dense or deep enough to support the claims built on top of it.

Every capital or program budget request needs a number that survives scrutiny. For soil sampling and carbon MRV programs specifically, that number has gotten harder to justify.

For large farm operations, soil sampling is not a minor line item. Comprehensive sampling programs, the kind needed to support precision nutrient management or carbon credit participation, can cost tens of thousands to hundreds of thousands of dollars depending on acreage, sampling density, and the contractor rates in a given region.

How the Subterra Green Captures Multi-Parameter Data in a Single Pass The Subterra Green uses near-infrared spectroscopy to read the soil as the probe advances through the ground. The spectral signal captured at each depth increment contains information about multiple soil constituents simultaneously — carbon, bulk density, water content, and the spectral signatures associated with nutrient concentrations and various physical and chemical soil properties.

Canada’s Globe and Mail recently published a powerful piece examining the ongoing search at Tk'emlúps te Secwépemc. It is a sobering reminder of why building confidence through multiple, complementary methods is so critical. For families and nations waiting for answers, certainty is not just a technical goal, it is a critical mission for healing.

S4 Mobile Laboratories is pleased to announce it has been named a Morgan Startup Grant recipient for the second consecutive year

Every agronomist knows the frustration: you pull samples from a field, send them to a lab, wait days for results, and by the time the report arrives, the planting window has narrowed, or passed entirely. Traditional soil testing was designed for a different era of farming. Precision agriculture demands something better. The Problem with Point-in-Time Sampling Conventional soil testing captures a snapshot from a handful of locations, averaged across acres that are rarely unifo

S4 pilot projects are built on collaboration, not a hand-off. You bring your agronomic expertise and soil sampling capability, we bring the Subterra Green. Together, that combination produces something neither party could generate alone: high-resolution, geo-referenced soil data mapped across your specific field conditions.

The Subterra Green was built on a simple but powerful idea: farmers and agronomists deserve real-time, in-field soil data — not lab results that arrive days later when decisions have already been made. That vision started with soil organic carbon, water content, and bulk density. Today, we're sharing where it's heading next. What the Technology Makes Possible At the heart of the Subterra Green is near-infrared spectroscopy — a sensing approach capable of detecting hundreds of