Citrus — oranges, mandarins, lemons, and specialty varieties — must meet strict size, colour, and skin quality standards for domestic retail and export. A citrus sorting machine with AI vision handles the natural variation in peel texture and colour that makes manual grading slow and inconsistent.
Citrus-specific defects and grading standards
Buyers evaluate citrus on diameter, weight, colour uniformity, stem-end condition, and skin blemishes — oleocellosis, wind scar, thrips scarring, and decay indicators. Export programmes (EU, Middle East, Asia) often specify tighter bands than domestic loose sale. Manual inspection struggles when fruit runs at high speed or when subtle skin defects are easy to miss under warehouse lighting.
Skin texture and colour variance
Intello FruitSort is trained on large image libraries across citrus categories. The system:
- Segments fruit by size and weight for count packs and net-weight cartons.
- Classifies colour stage and uniformity for retail display and export colour requirements.
- Flags surface defects against your internal or customer spec — with tunable sensitivity per market.
- Builds digital lot records for traceability and buyer disputes.
Models run on edge hardware at line speed, integrated with diverters for export, domestic premium, standard, and processing streams.
Export market quality requirements
Export success depends on delivering the same grade definition carton after carton. Computer vision removes inspector-to-inspector drift and documents what was shipped. Pair sorting with FlowStar for net-weight bagging or with the Tray Packer Robot for premium retail trays — supported commodities include citrus alongside apple and avocado.
Throughput and deployment
Typical deployments achieve 95%+ parameter accuracy with throughput scaled to your packhouse — Intello Labs supports capex and operational models with on-site installation. More than 100 sorting systems are live across India and global markets.
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