Why Meridia Verify is the most comprehensive solution for EUDR risk assessment
How we leverage 10 years of field experience to help you assess EUDR risks.
We conduct 50 rigorous tests on field data, physical flow data, and EUDR compliance—more than any other provider. Our work is directly aligned with source articles from the EU Deforestation Regulation (EUDR) and focuses on four key areas across 35+ origins.
Data quality
Ensuring data quality is the initial requirement for EUDR compliance. Verify examines various facets of data quality. Based on the risk assessment, users will promptly identify farm records requiring immediate investigation (labelled “critical risk”). The results also encompass non-urgent issues that users may wish to address later.
Integrity
Integrity tests assess the fundamental quality of each farm plot record: Do they have any significant issues that could affect their processing, analysis, and interpretation? Not all integrity issues are cause for concern, but some may require immediate attention.
Farm plot boundary has spikes
Spikes may occur during data collection due to inaccurate GPS signals. If not adequately addressed, these spikes can lead to incorrect results. For instance, if only the spiked part of a farm plot overlaps with a deforested or protected area, this can result in misleading data. Other problems associated with spikes include overlap with other farm plots, incorrect area/size calculations, and inaccurate yield estimations.
Farm plot has self-intersecting boundary segments
Boundary segments that intersect themselves (like in a figure eight shape) do not accurately represent the true farm plot outline. These intersections usually happen because of inaccurate mapping techniques or GPS signals with low precision or accuracy. Self-intersections can cause processing errors for some systems. For example, the EUDR Information System does not permit farm plot polygons with self-intersections on their platform. Source, as of 20th Aug 2024.
Consistency
Consistency tests compare the farm plot records of a dataset with each other: Is the data consistent within a dataset, or are there internal conflicts or contradictions? Not all internal consistency issues need immediate attention.
Farm plot overlaps with other farm plot(s)
Overlaps may occur due to mapping errors or represent genuine disagreements over farm plot boundaries. Regardless of the cause, overlaps should be resolved and avoided during data collection. Slight overlaps within the GPS device accuracy error margin are acceptable, but significant overlaps must be addressed.
Farm plot is duplicated
Duplications typically arise from errors in data processing or management, posing problems by leading to overestimations of production area and yield.
Plausibility
Plausibility tests evaluate the accuracy of farm plot data in relation to its context. This means that even if there are no technical issues or internal conflicts, the data may still be considered implausible based on contextual information.
Farm plot overlaps with built-up area
All farm plot locations will be compared to reference data containing the areas that are built up, such as residential areas or streets. If an overlap is detected, the farm plot will receive a risk score depending on the severity of the overlap. The location of the farm plot appears to be implausible.
Farm plot has a very uncommon shape
This test determines the roundness factor of a farm plot polygon. Typically, a farm plot has a somewhat round shape. If a farm plot's shape deviates substantially from the expected roundness, this farm plot will be assigned a higher risk score, considering it implausible.
Deforestation
EUDR defines forest as land spanning more than 0,5 hectares with trees higher than 5 metres and a canopy cover of more than 10 %, or trees able to reach those thresholds in situ, excluding land that is predominantly under agricultural or urban land use (Article 2 (2)). Deforestation is defined in the EUDR as the conversion of forest into agricultural land after 31st December 2020. Meridia Verify uses multiple sources of remote sensing data to assess the risk of a farm plot existing in a recently deforested area, such as high-quality public datasets like the Global Forest Cover 2020 base map and Tropical Moist Forest degradation from the EU Joint Research Centre, DIST-ALERT from GLAD, or commercial deforestation maps by Space Intelligence*
*ICE CoT EUDR Deforestation Map. Produced by Space Intelligence for use in the ICE CoT platform. Licensed by ICE Benchmark Administration Limited
Farm plot overlaps with deforested area
When a farm plot is located in an area classified as deforested, it is flagged, deeming it non-compliant with the EUDR.
Geopoint too close to a deforested area
Geopoints convey limited geospatial information compared to polygons. Since the exact boundary of a farm plot cannot be determined with only a geopoint, geopoints located too close to a deforestation area are flagged as a risk for non-compliance with the EUDR.
Origin law & legality
Ensuring data quality is the initial requirement for EUDR compliance. Verify examines various facets of data quality. Based on the risk assessment, users will promptly identify farm records requiring immediate investigation (labelled “critical risk”). The results also encompass non-urgent issues that users may wish to address later.
Legality
Commodities must be produced following the relevant legislation of the country of production (EUDR Article 3(b)) to be EUDR compliant. These laws cover multiple aspects, including land use rights, environmental protections, labour rights, human rights, and more (EUDR Article 2(40)). Meridia Verify already offers information on land use rights and environmental protections. We plan to expand our scope to include labour and human rights.
Farm plot overlaps with protected area
Protected areas, such as nature reserves or national parks, are places where farming is restricted or only allowed under specific conditions. Typically, a country’s government publishes this information. Any farming activity within these areas will be flagged. However, it is possible to provide additional details to demonstrate that the specific conditions for farming in that area have been met.
Traceability
Between the farm gate and EU import, there are multiple modification steps that a parcel can go through. Our risk rating assesses the truthfulness of traceability data at the parcel level, ensuring integrity in the chain of custody. We evaluate data integrity, consistency, and plausibility as well as investigate general quality in documentation.
Scoring
When conducting tests on farms, each test provides a risk score from low risk to critical risk.
These scores are organised into a matrix, with each row representing a farm and each column denoting a different test. However, interpreting this matrix becomes challenging when dealing with a large number of farms and tests.
To simplify this, Meridia developed a scoring system that combines all the test results into a single score for each farm. This greatly simplifies the understanding and comparison of risk levels across numerous farms.
Drawing on years of field experience and the mapping of over 250,000 farm plots, Meridia’s deep expertise is now embedded in Meridia Verify.
Our software leverages real-world insights and local knowledge to deliver the most comprehensive solution for EUDR risk assessment. With our proven approach, we’ve verified more than 1.5 million farm plots across 20+ countries.