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9 rue Saint-Fiacre

75002 Paris, France

1 Av. de l'Étang

49123 Ingrandes, France

4, rue de l'Eglise

27440 Lisors, France

14 Allée Duguay Trouin

44 000, Nantes, France

Don't miss what's next.

By submitting you agree to receive our emails. You can unsubscribe anytime.

9 rue Saint-Fiacre

75002 Paris, France

1 Av. de l'Étang

49123 Ingrandes, France

4, rue de l'Eglise

27440 Lisors, France

14 Allée Duguay Trouin

44 000, Nantes, France

Don't miss what's next.

By submitting you agree to receive our emails. You can unsubscribe anytime.

9 rue Saint-Fiacre

75002 Paris, France

1 Av. de l'Étang

49123 Ingrandes, France

4, rue de l'Eglise

27440 Lisors, France

14 Allée Duguay Trouin

44 000, Nantes, France

The Science behind Genesis' soil assessment

The Science behind Genesis' soil assessment

The Science behind Genesis' soil assessment

At Genesis, we believe that healthy soils are the foundation of resilient agricultural systems — and of the businesses that source directly from nature. They are also the first and most essential benefit of regenerative agriculture.

Measuring soil health at scale, across different landscapes, and over time is challenging. To address this, we developed a practical, science-based approach that helps make soil resilience measurable and trackable. Our indicators are designed to be reliable, comparable, and actionable, showing how ecosystems persist, adapt, and regenerate — and providing a way to quantify the benefits of regenerative practices for both farms and the broader value chains.

Our methodology follows the recommendations of the European Soil Monitoring Directive and is now applied across more than 200,000 hectares in 15+ countries, with the support of leading scientific partners (see our references).

Soil health: what does it mean, and how is it assessed?

Soil health reflects a soil’s ability to perform its functions: feeding plants, storing carbon, retaining water, supporting biodiversity, and remaining resilient under climate stress.

To translate these functions into measurable data, we carry out physical, chemical, and biological analyses of the soil (texture, pH, organic matter, etc.) and track key scientific indicators:

  • Total organic carbon

    Measures the amount of organic matter in the soil, the foundation of fertility and carbon storage.

    Total organic carbon

    Measures the amount of organic matter in the soil, the foundation of fertility and carbon storage.

    Total organic carbon

    Measures the amount of organic matter in the soil, the foundation of fertility and carbon storage.

  • Microbial biomass

    Indicates the abundance of soil microorganisms, reflecting biodiversity and soil activity.

    Microbial biomass

    Indicates the abundance of soil microorganisms, reflecting biodiversity and soil activity.

    Microbial biomass

    Indicates the abundance of soil microorganisms, reflecting biodiversity and soil activity.

  • Water holding capacity

    Measures the soil’s capacity to retain and supply water to crops.

    Water holding capacity

    Measures the soil’s capacity to retain and supply water to crops.

    Water holding capacity

    Measures the soil’s capacity to retain and supply water to crops.

  • Erosion

    Shows how vulnerable the soil is to losing material and nutrients.

    Erosion

    Shows how vulnerable the soil is to losing material and nutrients.

    Erosion

    Shows how vulnerable the soil is to losing material and nutrients.

  • Pollution

    Evaluates substances that could disrupt natural soil processes and reduce productivity (trace metals, salinity, nitrates)

    Pollution

    Evaluates substances that could disrupt natural soil processes and reduce productivity (trace metals, salinity, nitrates)

    Pollution

    Evaluates substances that could disrupt natural soil processes and reduce productivity (trace metals, salinity, nitrates)

We also integrate satellite data (Sentinel-2), such as natural habitats, soil cover or and crop rotation diversity, to enrich our understanding of the ecosystem health. This work is supported by the European Space Agency.

How can soil health be measured at scale, across diverse contexts?

Two soils that look identical on paper — with the same raw measurements — can behave very differently depending on their context (texture, climate, biome).

To account for this, we evaluate each soil within its pedoclimatic cluster — a grouping of areas with similar natural characteristics in soil, climate, and vegetation.

This approach helps us avoid misleading comparisons between plots and clearly distinguish:

  • The soil’s natural potential in a given context

  • The effects of agricultural practices that improve or degrade it.

Soil A

Soil Organic Carbon

14.2

g/kg DM

2 g/kg

12 g/kg

Soil B

Soil Organic Carbon

14.2

g/kg DM

13 g/kg

30 g/kg

Soil A

Soil Organic Carbon

14.2

g/kg DM

2 g/kg

12 g/kg

Soil B

Soil Organic Carbon

14.2

g/kg DM

13 g/kg

30 g/kg

Soil A

Total Organic Carbon

14.2

g/kg DM

Soil B

Total Organic Carbon

14.2

g/kg DM

Soil A

Total Organic Carbon

14.2

g/kg DM

Soil B

Total Organic Carbon

14.2

g/kg DM

For each cluster and each indicator, we define threshold values:

  • Reference value – representing healthy, naturally functioning soil

  • Critical value – indicating degraded soil

  • Intermediate range – covering conditions between the two.

These thresholds allow us to calibrate raw measurements against what is realistic for each soil’s natural context. They are based on scientific literature, regulatory standards, or statistical models built from large-scale datasets (over 50,000 soil samples included to date).

Thanks to this calibration, Genesis can transform raw indicator values into a 0–10 score, adapted to the specific local context.

Soil A

Carbon score

7/10

GOOD

Soil B

Carbon score

3/10

DEGRADED

Soil A

Carbon score

7/10

GOOD

Soil B

Carbon score

3/10

DEGRADED

Soil A

Texture

Sandy

Climatic cluster

Asia-12

Soil B

Texture

Clayey

Climatic cluster

Europe-21

Soil A

Texture

Sandy

Climatic cluster

Asia-12

Soil B

Texture

Clayey

Climatic cluster

Europe-21

Soil A

Total Organic Carbon

14.2

g/kg DM

Soil B

Total Organic Carbon

14.2

g/kg DM

Soil A

Total Organic Carbon

14.2

g/kg DM

Soil B

Total Organic Carbon

14.2

g/kg DM

Let's look at some use cases

To show how Genesis methodology works across different types of raw data, we applied it to two practical use cases.

Soil health across France
Soil health across France
Soil health across France
Soil organic carbon across Europe
Soil organic carbon across Europe
Soil organic carbon across Europe

How can soil health data help monitor agricultural transition ?

To make soil health data easier to understand and use to pilot agricultural value chains, we created the Genesis Resilience Score — a single 0–10 indicator that acts as both a decision-making tool and a soil health “thermometer.” It helps track changes in soil over time and supports strategic and operational decisions for businesses and field teams.

The score combines key soil indicators mentioned above — total organic carbon, microbial biomass, pollution, erosion, and water holding capacity — into a weighted geometric mean, with weights informed by our soil scientists’ expertise.

Carbon

7.8

Water

5.2

Biodiversity

8.3

Erosion

1.8

Pollution

6.5

6.5

Good

0

10

Think of the Genesis Resilience Score as a “Nutri-Score” for soil health: it turns complex measurements into an easy-to-read, actionable number that tracks soil health dynamics over time, while staying firmly rooted in scientific rigor.

How does a project work with Genesis?

Step 1 — Representative sampling

Each project begins with a tailored sampling strategy, following Verra Scope 3, GHGP, ISO 14064 recommendations, or adapted to the specific needs of the client. The number of samples is adjusted to fit the type of project.

Step 1 — Representative sampling

Each project begins with a tailored sampling strategy, following Verra Scope 3, GHGP, ISO 14064 recommendations, or adapted to the specific needs of the client. The number of samples is adjusted to fit the type of project.

Step 1 — Representative sampling

Each project begins with a tailored sampling strategy, following Verra Scope 3, GHGP, ISO 14064 recommendations, or adapted to the specific needs of the client. The number of samples is adjusted to fit the type of project.

Step 2 — Field measurements & laboratory analyses

Soil samples are collected down to 30 cm following FAO protocols and analyzed in certified ISO laboratories. This ensures measurements are reliable and reproducible across different contexts.

Step 2 — Field measurements & laboratory analyses

Soil samples are collected down to 30 cm following FAO protocols and analyzed in certified ISO laboratories. This ensures measurements are reliable and reproducible across different contexts.

Step 2 — Field measurements & laboratory analyses

Soil samples are collected down to 30 cm following FAO protocols and analyzed in certified ISO laboratories. This ensures measurements are reliable and reproducible across different contexts.

Step 3 — Scoring by indicator

Each soil sample is assigned to its pedoclimatic cluster, and scored from 0 to 10 according to its performance relative to the cluster-specific thresholds. This scoring translates raw measurements into actionable, comparable data for each indicator.

Step 3 — Scoring by indicator

Each soil sample is assigned to its pedoclimatic cluster, and scored from 0 to 10 according to its performance relative to the cluster-specific thresholds. This scoring translates raw measurements into actionable, comparable data for each indicator.

Step 3 — Scoring by indicator

Each soil sample is assigned to its pedoclimatic cluster, and scored from 0 to 10 according to its performance relative to the cluster-specific thresholds. This scoring translates raw measurements into actionable, comparable data for each indicator.

Step 4 — Aggregating results at different scales

Scores are then aggregated to provide summaries at multiple levels:

  • Farm level: weighted average across all measured plots.

  • Project level: weighted average across all farms in the project.

  • Value chain level: weighted average across all relevant farms.

  • Production type: average by production mode.

These aggregations make it possible to compare and visualize performance at different scales, and support operational decision-making. Statistical adjustments may also be applied to ensure results accurately reflect reality.

Step 4 — Aggregating results at different scales

Scores are then aggregated to provide summaries at multiple levels:

  • Farm level: weighted average across all measured plots.

  • Project level: weighted average across all farms in the project.

  • Value chain level: weighted average across all relevant farms.

  • Production type: average by production mode.

These aggregations make it possible to compare and visualize performance at different scales, and support operational decision-making. Statistical adjustments may also be applied to ensure results accurately reflect reality.

Step 4 — Aggregating results at different scales

Scores are then aggregated to provide summaries at multiple levels:

  • Farm level: weighted average across all measured plots.

  • Project level: weighted average across all farms in the project.

  • Value chain level: weighted average across all relevant farms.

  • Production type: average by production mode.

These aggregations make it possible to compare and visualize performance at different scales, and support operational decision-making. Statistical adjustments may also be applied to ensure results accurately reflect reality.

Step 5 — Monitoring over time

To track soil dynamics, Genesis revisits the same plots every 3–5 years, at the same GPS points and season. All indicators are reassessed to visualize changes and quantify the impact of implemented agricultural practices. During this step, we check measurement reliability, by calculating the Minimum Detectable Difference (MDD), to ensure that observed changes over time are significant and comparable.

Step 5 — Monitoring over time

To track soil dynamics, Genesis revisits the same plots every 3–5 years, at the same GPS points and season. All indicators are reassessed to visualize changes and quantify the impact of implemented agricultural practices. During this step, we check measurement reliability, by calculating the Minimum Detectable Difference (MDD), to ensure that observed changes over time are significant and comparable.

Step 5 — Monitoring over time

To track soil dynamics, Genesis revisits the same plots every 3–5 years, at the same GPS points and season. All indicators are reassessed to visualize changes and quantify the impact of implemented agricultural practices.

During this step, we check measurement reliability, by calculating the Minimum Detectable Difference (MDD), to ensure that observed changes over time are significant and comparable.

Genesis in the words of our clients

Chandon

Measuring impact on land, worldwide

Chandon

Measuring impact on land, worldwide

Chandon

Measuring impact on land, worldwide

Amarenco

Solar energy & Regenerative ecosystems

Amarenco

Solar energy & Regenerative ecosystems

Amarenco

Solar energy & Regenerative ecosystems