Grain Update: Expanding Automated Grain Grading to Red Lentils and Soybeans

Grain grading is constantly evolving, and so are we. Our team has been hard at work refining and expanding our models to bring automated, real-time grain grading to more grain types. We are excited to share that our benchtop MV/NIRS system now includes grading for red lentils and soybeans. 

This update means faster, more consistent grading with the same level of precision, whether you're grading on-farm, at a handling facility, or at its final destination. 

How the Benchtop Works 

The benchtop MV/NIRS is built for accuracy and efficiency, providing automated grain grading in three simple steps: 

  1. Pour Your Sample – Load 1-2 kg of your grain into the unit. 

  2. Automated Grading – Machine Vision captures high-resolution images to assess visual grading factors, while Near-Infrared Spectroscopy (NIRS) measures non-visual characteristics such as moisture and protein. 

  3. Receive Results – Within minutes, get detailed grading results that help you make better marketing, storage, and operational decisions. 

Now Assessing: Soybeans & Red Lentils 

Soybeans

Our system now provides a detailed detection of what's present in your soybean sample, assessing: 

  • Protein, oil content, and moisture (via NIRS) 

  • Key grading factors such as splits, cracked seed coats, diseases, damages, foreign material, and immature seeds. This is just the beginning - we will be adding new grading factors in the coming months and full grading soon! 

Red Lentils

Included in the detailed grading result for red lentil assessment: 

  • Moisture content (via NIRS) 

  • Key grading factors including damage, peeling, splitting, frost and insect damage, and distinctly green lentils – with more to come! 

What’s Next  

With soybeans and red lentils now part of our automated grading system, grain buyers, processors, and farmers can access faster, more consistent, and objective grading, enabling better decision-making across the supply chain. 

As we gather more real-world data, we will continue to refine and enhance these models, ensuring greater accuracy and reliability across different conditions. 

Building on this progress, we are expanding our grading capabilities to include faba beans, Canadian Western Amber Durum, and oats, further advancing automation and efficiency in grain grading. 

Want to see it in action? Contact us today to schedule a demo. 

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