From location points to polygons, ensure farm plot data integrity. Automate validation, eliminate errors, and meet regulatory standards with confidence.
Accurate and traceable farm plot location data is essential for ensuring supply chain transparency, monitoring sustainability performance, and reducing environmental risks in agriculture. As stakeholder expectations rise, these capabilities have also become a regulatory requirement under frameworks such as the EU Deforestation Regulation (EUDR). Plot data can typically be collected either as polygons—representing precise mapped boundaries—or as points indicating general location coordinates. Picterra’s advanced geoAI technology provides powerful tools to verify the quality of this data, helping you maintain high integrity and meet the highest standards. With Picterra Tracer, you can automate the detection and correction of common data issues, and generate detailed reports and visualizations to support both compliance and ongoing monitoring.
Our platform automates detecting and correcting common errors, such as misplaced points due to projection issues or manual entry mistakes.
Incorrectly placed points due to projection errors
Incorrectly placed points due to projection errors
Polygon data often presents challenges, such as self-intersecting boundaries, incorrect placements, or missing geographic information. Picterra’s tools simplify the process of detecting and correcting these issues.
Correction of self-intersections and outliers in a dataset of polygons
Verification of unusual size of polygons
Verification of unusual size of polygons
Line instead of a polygon
Correction by splitting the polygons with holes to multi-polygons
Correction of wrong vertices with inner and/or outer loops
Managing supplier data involves collecting, verifying, and unifying data from various formats, which can be complex. Picterra Tracer simplifies this by ensuring data from different suppliers, whether in CSV, KML, or other formats, is readable and GIS-ready. Our system consolidates files into a unified database, performs rigorous quality checks, and corrects common data errors. This process includes handling typos, inverted data points, mismatched points, and polygons and maintaining high data integrity through automated workflows.
We use AI-powered data extraction to fill gaps when supplier data is incomplete. As a result, we provide a quality-verified, aggregated database of farm plots accessible on the Picterra Tracer. This includes detailed plot maps, visualizations, and statistics per supplier, region, and time, ensuring a single source of truth and aiding in comprehensive compliance and accountability.
Picterra comprehensively assesses your dataset’s quality, ensuring all data points and polygons are accurate and complete. Our solution offers detailed reporting on all corrections, enhancing transparency and reliability. Features like automatic detection of duplicate geometries and ensuring projection consistency are part of our holistic approach to data quality.
Meet the EU Deforestation Regulation requirements with accurate farm plots data.
