Soy / Brazil EUDR evidence

EUDR evidence for soy from Brazil.

Brazilian soy often moves from farms through silos, traders and exporters, and mixed lots can contain soy from several plots. Each contributing plot must stay linked to the lot. Bosqio brings plot locations, forest-change evidence, land and company records, supplier documents and follow-up evidence into one traceable record.

Brazil country boundary
Brazil / Soy EUDR guide

What matters for Brazilian soy.

Brazilian soy due diligence depends on a clear link between each soy lot and every plot that contributed to it. This matters when soy moves through silos, traders and exporters or when crops from several farms are mixed. The main evidence combines plot locations, forest change, land, embargo, company and supplier records.

Maps and satellite signals provide context rather than a simple pass or fail. Planting, growth, harvest and bare soil create strong seasonal changes, so conclusions depend on a longer time series and evidence from the supplier.

Brazil: standard risk - full due diligence still applies Lot-to-plot traceability Forest, company and legality context
Benchmarking note

Brazil is classed as standard risk under the EU country benchmark. This is not a pass or proof of compliance for soy from Brazil. Operators still need to collect the required information, assess risk, and follow up until any identified risk is negligible.

01 / Soy

Brazil's soy landscapes

Brazilian soy extends from established production in the South to major farming areas in Mato Grosso, Goiás and the MATOPIBA region. Crop cycles create strong seasonal changes, while some production areas sit close to Cerrado or Amazon vegetation. The regional map helps you understand the declared origin, but it is not proof that a plot complies.

Major production regions Seasonal crop patterns Origin in forest context
02 / Deforestation

Forest loss after 31 December 2020

Soy fields change quickly between planting, growth, harvest and bare soil, so a single image can be misleading. The EUDR question is whether forest loss or conversion occurred inside the supplied plot after 31 December 2020. A longer time series helps separate a normal crop cycle from lasting land-cover change, while nearby alerts remain context rather than an automatic failure.

Inside-plot change after the cutoff Crop cycles kept in context Nearby change as context
03 / Legality

Land, company and legality context

Soy can be mixed in silos and moved through traders before export, so every contributing plot must stay connected to the lot. CAR data, IBAMA embargoes and protected or traditional territories add land and legality context. CNPJ records identify farms, storage sites, traders and exporters and can be matched with official labour enforcement records. A record match needs review; the identifier alone is not evidence of wrongdoing.

Every contributing plot linked CAR, embargo and territory context CNPJ and official labour records
04 / Satellite imagery

See what changed across the crop cycle

Bosqio helps you understand what happened on and around your soy plot. Bosqio's own satellite data pipeline brings the newest available observations and alerts together with historical imagery to build a clear time series. This helps you see crop cycles around the EUDR cutoff without mistaking every harvested or bare field for land conversion. New data, including same-day observations when available, keeps the picture current.

Newest available observations Crop cycles around the cutoff Change inside or near the plot
05 / Vegetation over time

Crop cycles in the vegetation record

Soy changes quickly between planting, growth, harvest and bare soil. The NDVI and NBR time series shows that repeated seasonal pattern across several years. This helps separate a normal crop cycle from a lasting change in vegetation or land cover.

Seasonal crop patterns Change across several years Lasting change kept separate
06 / Spatial change

Crop and land-cover change in context

Not every change in a soy signal is deforestation. Harvest, soil preparation, crop rotation, dry weather and image noise can all change what appears on the map. The strongest clues are where the change sits relative to the plot, when it began and whether it remains visible beyond the normal crop cycle.

Location relative to the plot Timing and persistence Normal crop cycles kept in context