Your digital EUDR due diligence statement
for your plantation
Due Diligence Statement
As CEO of Dilify Ltd, I hereby confirm that our analysis and processing of satellite data, geolocation information, and legality risk has been conducted in accordance with Article 9, 10, and where necessary, Article 11 requirements under Regulation 2023/1115.
Our assessment included:
1. Processing and validation of geolocation polygons for all source plantations, using high-resolution satellite imagery and Sentinel-2 data
2. Algorithmic change detection analysis to verify no deforestation or forest degradation occurred after December 31, 2020
3. Integration of plantation coordinates and production data into an EUDR-compliant format
4. Assessment of compliance with relevant legislation in the country of production, including: Land use rights and tenure, Environmental protection laws, Labor rights and working conditions, Indigenous peoples' rights, Tax and anti-corruption regulations, Trade and customs requirements
This analysis below supports the documentation package for the EU Operator and provides the technical foundation for demonstrating negligible risk of non-compliance with Article 3 requirements. The full dataset and analytical methodology are available for review by the EU Operator and Competent Authorities.
Harris Karim
CEO, Dilify Ltd
Due Diligence Evidence
Uma Exports
F-975, Road no 14, Vki area, Jaipur, India, 302013
Shipment Ref:
Uma A001-2026-01
Shipment Date:
9th November 2025
1
Total
Plots
Plots
0
Level 1:
Low
Risk
Low
Risk
1
EU
Forest
Overlap
Forest
Overlap
1
Level 2:
Low
Risk
Low
Risk
Downloads
Due Diligence File
This is the GeoJSON file that must be uploaded into the EU's Deforestation Due Diligence Registry
Article 9
Information Requirements
Product
A description, including the trade name and type of the product(s) (e.g. "sawn wood")
Input
Mango Wood
Quantity Title
Description of the quantity
Input
774 kg
Country & Region Title
The country and region(s) of production.
Input
Navsari, Gujarat, India
Geolocation Title
The geolocation of all plot(s) of land where the relevant commodities were produced.
Input
{"type":"Feature","properties":{"name":"UmaPlot3"},"geometry":{"type":"Polygon","coordinates":[[[73.00111719,20.73816555],[73.00276683,20.73917181],[73.00094293,20.74155979],[73.00099657,20.74033571],[73.00094293,20.73921194],[73.00111719,20.73816555]]]}}
Supplier Details Title
Supplier contact information
Input
Confidential
Buyer Details Title
Buyer contact information
Input
Uma Udyog, F 975, Road NO-14, VKI, Industrial Area, Jaipur, India-302013
Deforestation-Free Evidence Title
Deforestation-free evidence and analysis
Input
Evidence includes geolocated plot data (via submitted GeoJSON), which was verified against satellite imagery. An initial assessment noted a 28% overlap with EU forest maps. A subsequent time-series analysis confirmed consistent vegetation on the plot, providing clear evidence of no deforestation post-2020 and establishing it as a long-standing agricultural area.
Local Law Abidance Title
Verification of compliance with local laws
Input
This section confirms that the procurement complies with all relevant local and national laws in Gujarat, India. This includes adherence to state-level regulations for the felling and transport of timber from private agricultural land (e.g., Gujarat land records, felling permits, transport passes), as well as national-level trade and labor laws.
Supporting Certificates and Documents Title
Any supporting certificates and documents
Input
Waybills, Transport Permits, Land and Forest Passes, etc
Article 10
Risk Assessment
Country Risk
the assignment of risk to the relevant country of production or parts thereof in accordance with Article 29
Input
India is currently designated as a standard-risk country. The plot's GeoJSON coordinates (approx. 20.74° N, 73.00° E) place it in the Navsari district of Gujarat, a well-documented agricultural belt. This region practices extensive, legal agro-forestry (e.g., teak, mango) on private farmland, which is distinct from protected state forests.
Forest Presence
the presence of forests or other wooded land on the plot of land
Input
Okay Good!
Indigenous Peoples
consultation with and rights of indigenous peoples, in accordance with the UN Declaration on the Rights of Indigenous Peoples
Input
The plot is on private agricultural land with no overlap with areas designated for indigenous peoples. Consultation requirements are not applicable in this specific context.
Deforestation
information on deforestation or forest degradation
Input
While the 28% overlap finding raised an initial flag, a subsequent time-series analysis showed the plot has had consistent vegetation cover. This provides clear evidence of no deforestation and aligns with its long-standing use as a farming area.
Documentation
the collection of documents and information demonstrating compliance
Input
All relevant documents, including land titles, harvest permits from the Gujarat agricultural authority, and transport documents, have been collected and verified.
Corruption
the prevalence of corruption, as described in the reports of Transparency International
Input
Corruption risk in Gujarat's agricultural sector is managed by adhering strictly to official permitting processes. All interactions are documented, and permits from the agricultural and land revenue departments are publicly verifiable.
Supply Chain
the complexity of the relevant supply chain
Input
The supply chain is direct, from the agricultural plot in Gujarat (Navsari district) to the processing unit. Geolocation data tracks this movement, ensuring no mixing with timber from other sources.
Product Mixing
the risks of mixing of relevant commodities or relevant products with relevant commodities or relevant products of unknown origin
Input
The "plot-to-processor" model, verified by geolocation data and transport documents, effectively eliminates the risk of mixing with products of unknown or non-compliant origin.
Expert Groups
reports from relevant expert groups supporting the implementation of this Regulation, as published in the Commission’s expert group register;
Input
The Gujarat Forest Department and Navsari Agricultural University have clear protocols for harvesting trees from private agricultural land ('kheti'), a common and documented practice in South Gujarat for crops like teak and mango. The operation's compliance with these specific protocols aligns with EUDR guidance on sourcing from legitimate agro-forestry systems.
Compliance History
substantiated concerns submitted under Article 31, and information on the history of non-compliance of operators or traders along the relevant supply chain with this Regulation;
Input
Compliance History shows no significant violations in timber harvesting from this specific agricultural area over the past five years, according to local regulatory records. The operation has maintained consistent compliance with Gujarat's agricultural and timber transport requirements, as evidenced by their valid permits.
Non-Compliance
any information that would point to a risk that the relevant products are non-compliant;
Input
In terms of Non-Compliance risks, while some timber operations in Gujarat have faced challenges with forestry standards, this particular harvest involves documented agricultural land. The time-series satellite imagery confirms consistent vegetation and no encroachment into forest areas, and the operation's procedures show adherence to Gujarat's specific agricultural wood harvesting requirements.
Region and Country Risk Assessment
The state of Gujarat has a total recorded forest area of approximately 9.66% of its geographical area. The specific plot is located in the **Navsari district**, an area known for intensive agriculture, horticulture (e.g., mango, sapodilla), and established agroforestry systems (e.g., Eucalyptus, Teak). The risk of deforestation from primary forest conversion for this specific plot is considered low, given its location within a long-established agricultural landscape. State-level regulations for farm-grown timber are in place and contribute positively to risk mitigation for EUDR compliance.
Consignment Risk Assessment
The consignment of Wood from **Navsari, Gujarat** is assessed as presenting a minimal risk under the EUDR framework. The procurement from a singular, well-documented agricultural plot significantly diminishes supply chain complexity. **Crucially, while an initial assessment indicated a 28% overlap with EU forest maps, a subsequent time-series analysis confirmed the plot has maintained consistent vegetation, providing strong evidence of no deforestation post-2020 and confirming its status as an established farming area.** This verification directly addresses Article 9 requirements. The farm's area, established prior to 2020, alleviates concerns. The consignment's provenance is clearly established through farmer identification, purchase invoices, and a documented chain of custody, which collectively reduce the risk of non-compliance. In conclusion, the thorough documentation, controlled agricultural sourcing, and specific time-series verification result in a negligible risk for EUDR compliance.
Traceability Summary
Summary of the detailed analysis and risk assessment of the supply chain and relevant documentation.
2
Total Actors within the Supply Chain
Actors identified, verified, and validated within the supply chain
100
Documentation Completeness %
Documentation coverage of certifications, farm registrations, licenses, permits, waybills, and purchase invoices
100
Geolocation Coverage %
Geographic verification with confirmed coordinates of the plot supported by satellite imagery
0
Volume Discrepancy % from Source to Export
Volume discrepancy detected between harvested & transported quantities through documentation (tolerance: <10%)
Deforestation Plot Summary
1
Total Plots
This is the total number of plots where the Product was produced from
1
Level 1: Low Risk Plots
This is the total number of LOW risk plots where the Product was produced from
1
Plots that overlap with EU Forest Map
Plots that are overlapping with the EU Forest Observatory map and requires further analysis
1
Level 2: Low Risk Plots
This is the total number of LOW risk plots after further analysis using our AI algorithm
Deforestation Plot Analysis of High Risk Polygons
These are the polygons which were deemed high risk of deforestation from the EU Forest Map, however Dilify's proprietary AI algorithm has deemed these low risk with the evidence shown below from the Dilify platform.
Deforestation Plots that do not overlap with the EU Forest Map
These are the plots leveraging the Dilify platform which were deemed low risk of deforestation as they do not overlap with EU Forest Map.
No items.