About Us

The Canadian Sheep Federation has championed the Canadian Sheep Identification Program since its incorporation into federal regulations back in 2004.  Since then, the CSF has maintained its commitment to ensuring that the national ID and traceability program are affordable, flexible, and effective for the sheep industry. AgroLedger was developed to help us keep our promise to producers, capitalizing on innovative technology that will help us cut program costs, more effectively manage disease response, and provide value back to our producers through added system functionality.  


The Story of AgroLedger

We looked at a variety of new and existing options for livestock traceability. Blockchain was identified as an emerging technology capable of revolutionizing supply chains by creating a connected network of users securely reporting and trading data.  It sounded like an ideal solution for our trace system, but we wanted to be sure that it could be implemented with systems and equipment that already exist in the field so we conducted a field trial. 

As we consulted on the future regulatory amendments that will close the loop on full traceability, we saw the effectiveness of disease tracking being whittled away because current technology available in the field made meeting reporting requirements too difficult.  At the same time, we heard from producers that ‘if we are going to keep putting tags in sheep ears, we are going to need to get something in return’. It was clear that a traceability system capable of managing regulated data, meeting producer needs, and fostering innovation wasn’t yet available.  So we set out to design a system specifically for Canadian sheep farmers.

The trial tracked a group of lambs from their farm of origin through to final packaging, collecting future trace reports and carrying animal information along the value chain and to the customer.  When the customer scanned the packaged product, they could learn about how the product was raised.  The field trial was hugely successful and confirmed that we could meld the new technology with existing infrastructure.  Shortly after the trial, we were approached by the Community of Federal Regulators to partner in a use case study of blockchain technology in regulated environments.  The study concluded that the approach we were proposing for managing traceability was an ideal solution, and better than existing systems.  This was the confirmation that we needed to confidently move ahead with developing AgroLedger.  

AgroLedger development was funded by the CSF and the technology is owned 100% by Canadian sheep farmers and ranchers. 

And the rest, as they say, is history!

Meet the Team

Corlena Patterson, Executive Director

Corlena Patterson serves as the Executive Director for the Canadian Sheep Federation and led the AgroLedger development team. Prior to her appointment as ED, Corlena served as National Scrapie Coordinator for the CSF’s National TSE Eradication Plan overseeing the completion of national scrapie prevalence study and the development of the small ruminant industry’s Scrapie Eradication Strategic Plan. Formally educated in agricultural science, Corlena holds a bachelor’s degree in Animal Science from McGill University and a master’s degree in Equine Studies from the University of Edinburgh’s Royal (Dick) School of Veterinary Studies. Formerly, Corlena served as Adjunct Lecturer in the Equine and Agriculture Departments at the Kemptville Campus of the University of Guelph and managed the Campus’s equine teaching and research facility. Corlena hails from an agribusiness and farming family, has owned and operated her own farm and has worked exclusively within Canada’s agriculture sector.

 

Kip DeCastro, Software Architect

The Build Team

  • Mikayla Marczak

    Software Developer

  • Tony Zheng

    Software Developer

  • Debbie Zhang

    Software Developer

  • Maaz Makrod

    Software Developer

  • Hecan Zhou

    Software Developer

  • Ryan Li

    Software Developer

  • Suhayb Bashir Yousif

    Software Developer

  • Rushil Patel

    Software Developer

  • Raghav Nitish Chandr Vobbalareddy

    Software Developer

What’s Next…

Together with the University of Toronto, Faculty of Applied Science and Engineering, multidisciplinary Capstone Course APS490 we’re working on a new project that will combine current technologies with facial recognition for livestock. This new project will open up a variety of opportunities for producers through precise traceability independent from livestock tags.