For millers, grain quality isn’t just a measurement—it’s the foundation of efficient processing, product consistency, and profitability. The ability to accurately assess grain before milling ensures predictable yields, fewer disruptions, and optimized flour quality. However, traditional grain grading methods introduce challenges that impact milling efficiency and outcomes.

Grain grading is a critical step in determining market value, processing quality, and end-use performance. Among the many grading factors assessed, Degree of Soundness (DOS), Hard Vitreous Kernels (HVK), and Wheats of Other Classes (WOOCs) play a crucial role across the entire grain supply chain—from farmers and grain handlers to millers and exporters. 

Bruno’s journey into AI-powered grain grading started with a deep passion for chemical analysis and real-time measurement technology. With a PhD in Chemistry from the University of Victoria, he specialized in developing analytical methods and integrating machine learning into chemical analysis—a skill set that perfectly positioned him for the work we do at Ground Truth Ag. 

While all grains contain some level of protein, the type and amount vary significantly based on genetics, environmental conditions, and agronomic practices. 

Grain quality is a key factor in determining market value, processing efficiency, and end-product performance. From farm to processors to destinations, we all rely on accurate and consistent grain grading to make informed decisions.

Nathaniel’s journey with Ground Truth Ag began at Saskatchewan Polytechnic’s Digital Integration Centre of Excellence (DICE), where he worked on an applied research project supporting our machine learning development.

Grain grading is one of the most critical yet complex processes in the agricultural supply chain.

Grain grading has always been a blend of science and skill, relying on measurable characteristics like moisture, protein content, and physical appearance to determine quality.

Grain grading is more than just a technical process—it’s an art that requires experience, skill, and a keen eye for detail. While science provides the framework, grain graders rely on visual assessment, comparisons, and judgment to determine quality.

We are excited to share that our benchtop MV/NIRS system now includes grading for red lentils and soybeans.

Meet Christian Miranda, a dedicated Grain Data Collector at Ground Truth Ag.

We’re excited to share some big news: We’ve partnered with CLEWS Management to bring our benchtop MV/NIRS grain grading technology to farmers and grain buyers across Canada.

At Ground Truth Agriculture, we’re passionate about driving meaningful change in the agriculture sector through innovation. One of the bright minds contributing to this mission is Brandon Hillbom, a Junior Front-end Software Developer whose journey with us began in a rather serendipitous way. 

At Ground Truth Agriculture, we're proud to have a team that brings diverse backgrounds and unique skills to the forefront of AgTech. Today, we're excited to introduce you to Purvi Patel, a dedicated Grain Data Collector whose journey to Ground Truth Ag started through a friend’s recommendation. 

Discover Ground Truth Agriculture's transformative 2024! From launching our groundbreaking benchtop MV/NIRS technology to winning the ABEX Awards and forming strategic partnerships, it was a year of innovation and growth.

Innovation isn't just a buzzword—it's a reality, especially on our test farms where the latest in grain grading technology is put through its paces. This year, we caught up with Brady, one of our seasoned test farm operator, to gather insights from his second year testing the on-combine unit

Grading results can be confusing and hard to understand – we know this all too well. That's why we break down each aspect of your grading result, ensuring you understand every detail about your grain sample. 

Discover the efficiency of our benchtop automated grain grading unit, designed to enhance the precision of grain grading directly on-site—whether on a farm, at a facility, or any destination in between. This compact and powerful tool simplifies the grading process, providing accurate assessments of both visual and non-visual grading factors.