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Grain Receiving & Trading

Objectivity and consistent analysis creates fair trades between farmers and grain receivers. The benefits from optimizing the usage of grain is also apparent later in the value chain, for example by minimizing waste. 

Models available for

Barley
Durum
Wheat
Rice
Oats
Rye
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AI-powered visual inspection is revolutionizing grain trading by ensuring objective and reliable quality assessments. Traditional manual grading can be time-consuming and subjective, but AI-driven analysis provides consistency and comparable accuracy at scale. High-resolution imaging captures every kernel’s detail, allowing traders to assess size, shape, and color with precision, leading to fairer pricing and more reliable transactions.

AI also enhances impurity detection, identifying foreign grains, damaged kernels, and defects. This means traders can automate the visual inspection processes making time for other valuable things while ensuring compliance with industry standards.

By automating grain inspection, traders streamline operations, minimize human error, and maximize optimal grain usage — leading to better trading decisions. AI doesn’t just improve grain grading; it optimizes the entire trading process, driving profitability while ensuring transparency and quality assurance at every step.

Our Technology

Our patented mirror design and high-resolution imaging technology can detect all defects and impurities visible to the human eye, making it a powerful substitute for manual grain grading. Each kernel is captured in a detailed image and analyzed using advanced ANN models, developed by image analysis experts in collaboration with grain specialists. 

The analyse provide comprehensive physical data, including width, length, volume, and color of each kernel while also detecting impurities. At the same time it provides sieving data - all in a single run. Designed for all types of small grains, our durable and user-friendly instrument is a favorite among customers for its reliability, precision, and ease of operation.