Introducing GrainODM: AI-Powered Grain Analysis (600x Faster)

AI grain inspection
JAN 09, 2026 | 5 min.

Every disputed shipment, delayed inspection, and inconsistent grade has a direct cost. For laboratories and grain processors, the root cause isn’t the grain itself – it’s the inspection process.

GrainODM, powered by Agmis, solves this challenge. It’s an AI-powered grain analysis system that eliminates the bottlenecks holding back modern grain quality control – delivering results in 3 seconds instead of 30 minutes.

 

 

The True Cost of Manual Grain Inspection

Most grain processors and laboratories face the same challenges:

Inspection takes too long. What should be a quick quality check becomes a 30-minute manual process – longer during peak harvest seasons when speed matters most.

Human error and subjectivity. Two inspectors can grade the same sample differently, leading to inconsistent results and farmer disputes that damage relationships and create liability.

Specialist dependency. When your quality control depends on highly trained personnel, you’re vulnerable to staff turnover, illness, and training bottlenecks.

Labor-intensive processes. Manual inspection ties up skilled workers on repetitive tasks instead of higher-value activities.

Lack of documentation. Without visual proof and traceable reporting, disputes become he-said-she-said situations with no objective resolution.

Scalability constraints. As volumes increase, manual inspection becomes the bottleneck that limits throughput and growth.

For grain processors, mills, and laboratories operating in competitive markets with tight margins, these aren’t minor inconveniences – they’re competitive disadvantages.

 

 

GrainODM: Key Benefits of AI-Powered Analysis

GrainODM uses computer vision to transform grain quality control from a slow, subjective manual process into an automated, objective inspection workflow:

600x Faster Analysis

From 30 minutes to 3 seconds per sample.

99.8% Detection Accuracy

AI-driven precision that eliminates human subjectivity and ensures consistent results.

80% Reduction in Labor Costs

Automated operation means no specialist required – any staff member can operate the system.

~80 Impurities per 100g Detected

Comprehensive analysis that catches what human eyes miss.

Objective, Dispute-Free Results

Digital reports with saved images and AI model overlay provide visual proof for every inspection.

Aligned with Laboratory Workflows

Mass percentage calculation, weight-based impurity detection, and automatic traceable reporting that integrates with existing processes.

 

 

GrainODM grain AI inspection

 

How GrainODM Works (Simple 4-Step Process)

GrainODM is designed for simplicity and speed:

  1. Prepare Sample Insert a 50-100g grain sample into the GrainODM box for comprehensive analysis.
  2. High-Tech Imaging GrainODM captures high-resolution images of every kernel with lab-grade precision.
  3. AI Analysis In approximately 3 seconds, AI detects impurities, foreign materials, and defects for objective grading.
  4. Verified Digital Report Receive a comprehensive report with saved images and AI model overlay for full transparency and traceability.

 

 

Scalable Analysis: Expanding AI Models for Every Crop

GrainODM’s library of grain detection models grows continuously, representing the next generation of AI in agriculture. New crops can be added in weeks, and each model can be tailored to meet your unique requirements.

Currently supported crops include:

  • Wheat – Advanced classification detecting healthy kernels, foreign materials, and impurities
  • Oats – Reliable analysis identifying healthy kernels, damaged grains, and foreign materials
  • Rapeseed – Precise inspection including healthy and damaged kernels, foreign seeds, and other materials
  • Hemp Seeds – Specialized analysis detecting impurities, foreign materials, and quality assessment

Custom models can be trained on your own data to meet specific grading standards and requirements.

 

 

GrainODM Case Study: 600x Faster Analysis for Lithuania’s Largest Flake Producer

JSC Grainmore, Lithuania’s largest producer of grain flakes and granola, faced a critical challenge: manual grain quality control was slow, inconsistent, and dependent on highly skilled staff.

The transformation after implementing GrainODM:

 

The transformation after implementing AI-powered analysis:

Metric Before After
Analysis Speed 30 minutes 3 seconds
Accuracy Variable 99%
Specialist Required Yes No

 

“At first, employees were checking the system. Now the system ensures that the employees work correctly.” — JSC Grainmore representative

The result: faster analysis, more reliable grading, and a system that can be operated directly by staff without specialized training. Consistent results regardless of time or operator.

 

 

Is GrainODM the Right Solution for Your Business?

GrainODM is built for organizations across the entire grain and agriculture chain who:

  • Need faster, standardized testing in laboratory environments
  • Want consistent raw material quality at mills and processing facilities
  • Require incoming/outgoing inspection at scale for elevators and silos
  • Need objective, contract-proof results for trading and export operations
  • Must ensure reliable supply chain quality for food and feed production
  • Require batch purity and grading for seed companies
  • Want shared quality control infrastructure for cooperatives
  • Need independent verification for certification and regulatory compliance
  • Conduct grain and seed analysis for research purposes

If manual grain inspection is limiting your throughput, creating disputes, or tying up skilled personnel, GrainODM removes the constraint.

 

 

Ready to Transform Your Grain Quality Control?

GrainODM is already trusted by industry leaders across Europe, including leading grain processors, hemp food producers, and agri-inspection providers. Stop letting manual inspection hold back your operations.

Schedule a free consultation today to see a live demo of GrainODM and discuss how AI-powered grain analysis can solve your specific quality control challenges.

 

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