Brazilian Farmers Use Tokenized Cows to Access Farm Loans
Brazilian farmers have successfully completed the first deal using tokenized livestock as collateral for loans, according to Decrypt. Ten cows at Fazenda Engenho Velho secured a R$100,000 loan by utilizing unique blockchain identifiers generated from AI-sensor collar data, potentially easing the sector's credit crisis.

In a significant development in agriculture finance, ten cows from Fazenda Engenho Velho in Imbituva, Paraná, have become the first livestock to be used as collateral for a loan on Brazil's stock exchange. This pioneering transaction involved a CPR-F (Cédula de Produto Rural Financeira) loan worth R$100,000 (approximately $19,420). These cows, valued collectively at R$120,000 (around $23,310), were tokenized using unique blockchain IDs created from data collected by AI-powered sensor collars.
The AI collars, implemented by agricultural technology firm Cowmed, track various health and behavioral metrics of the dairy herd, allowing lenders to monitor the livestock's condition without the need for physical farm inspections. Traditionally, banks have heavily discounted livestock collateral—often by up to 60%—due to the inability to properly assess an animal's condition. Humberto Brenner, director at Target FIDC, which facilitated the loan by selling the credit rights, noted that this new approach can eliminate much of that uncertainty. "With monitoring, that uncertainty is eliminated," he explained, emphasizing the demand for reliable collateral information from lenders.
This tokenization initiative could provide a viable solution for farmers struggling with access to credit amidst rising economic pressures. The integration of blockchain technology in agriculture not only aids in loan facilitation but might also reshape how agricultural assets are valued and monitored. As the market responds, it remains to be seen how widely this model, which melds fintech with traditional farming, will be adopted in Brazil and beyond.
Summary based on original reporting by Jose Antonio Lanz at Decrypt, originally published Jul 23, 2026. SolanaWire does not republish source content.
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