Seed Quality Control
at Production Scale
🌾 Real-Time Cascade Control
100% inspection of every seed in free-fall — detecting cracks, discoloration, foreign matter, size variance, and abnormalities in milliseconds as seeds cascade through the vision system. Replace manual grading with AI-powered classification and increase accuracy, speed, and consistency across every batch.
The Challenge of Seed Grading
Manual seed inspection is labor-intensive, subjective, and doesn’t scale. Here’s what you’re dealing with:
Visual Fatigue
Manual graders make errors after 4–6 hours. Quality drifts, inconsistency rises, and defects slip through.
Batch Bottleneck
A single grader inspects ~120–180 seeds/hour. Doubling throughput means doubling headcount — and training delays.
Labor Economics
Rising wages + turnover + training costs make manual grading unsustainable for seed producers competing on margin.
Subjectivity
Different graders grade differently. Breeding programs and customer specs demand reproducible, measurable standards.
Germination Unknown
Manual inspection can’t predict viable seeds. Only destructive testing or time reveals germination rates — both costly.
Contamination Risk
Foreign matter, broken seeds, and disease signs are easily missed at scale. Recalls and reputation damage follow.
Logirobotix Seed Control: Four Core Capabilities
AI-powered inspection that runs 24/7, catches everything manual eyes miss, and pays for itself in months.
Defect Detection
Identifies cracks, discoloration, shrivel, fungal spots, and mechanical damage in real time. Catches defects at 0.5mm — faster than any human eye.
- Crack & break detection
- Color anomalies (disease, immature)
- Surface damage & shriveling
- Foreign matter (stones, stems)
Uniformity Grading
Classifies seeds by size, shape, and density with precision. Ensures batch homogeneity for breeding trials and consistent customer shipments.
- Dimensional measurement (±0.1mm)
- Shape uniformity scoring
- Size-based sorting (multi-grade)
- Density assessment via imaging
Viability Prediction
AI model predicts germination likelihood before planting. Trained on historical data (visual features + germination test outcomes), reduces waste and optimizes breeding selection.
- Non-destructive viability scoring
- Pre-planting confidence ranking
- Germinability correlation
- Model training on your data
Contamination & Safety
Detects and separates foreign seeds, debris, pathogens, and GMO traces (where relevant). Ensures compliance and protects crop integrity.
- Foreign seed detection
- Debris removal
- Disease symptom flagging
- Traceability & batch reporting
Manual Grading vs. AI Seed Control
Why machine vision dominates in modern seed production.
| Metric | Manual Grading | AI Seed Control |
|---|---|---|
| Throughput | 120–180 seeds/hour | 5,000–15,000 seeds/hour |
| Defect Detection Accuracy | ~85–92% | 99.2–99.8% |
| Consistency | High variance (grader-dependent) | ✓ 100% reproducible |
| 24/7 Operation | No — limited by human hours | ✓ Yes |
| Fatigue/Drift | ✗ Significant after 4–6hrs | None — consistent all day |
| Viability Prediction | Not possible (non-destructive) | ✓ AI-predicted |
| Training Time | 2–4 weeks per grader | Plug-and-play in 1 day |
| Cost per 1M seeds | €1,200–2,400 (labor) | €80–180 (system + utilities) |
Who Uses Logirobotix Seed Control
Deployed across breeding programs, seed companies, and agricultural research institutions.
Breeding Programs
F1 hybrid selection, trait validation, and line advancement. Non-destructive viability scoring accelerates cycles.
Read case study →
Seed Conditioning & Processing
Post-harvest grading, uniformity sorting, and contamination removal. Maximize yield per batch.
View workflow →QA & Certification
Lot testing, traceability, and compliance reporting for seed certifiers and regulatory bodies.
Learn more →System Specifications
Ready to automate seed grading?
Start with a free proof of concept on your actual seed lot. See detection rates, throughput, and ROI before you commit.