Tomato packhouses and processors still rely heavily on manual grading — and every season the same costs show up: inconsistent grades, slow throughput, and labour that is hard to hire and retain. A dedicated tomato sorting machine using AI and computer vision replaces subjective hand sorting with objective, repeatable grades at line speed.
The manual grading problem
Manual tomato grading varies by worker, shift, and fatigue. Mixed-grade cartons get sold at average prices, premium fruit is under-valued, and defective fruit slips through to retail or export — triggering returns and rework. During peak harvest, manual lines simply cannot keep pace with incoming volume without adding costly temporary labour.
How the machine grades tomatoes
Intello FruitSort — our AI sorting and grading machine — inspects every tomato on the line and classifies it in milliseconds using computer vision and, where configured, weight data:
- Size — consistent diameter and weight bands for retail packs and bulk.
- Colour and ripeness — separate green, breaker, pink, and red stages for different channels.
- Defects — skin cracks, blossom-end rot, sun scald, mechanical damage, and mould indicators.
- Shape — round vs. elongated lots for premium presentation.
Graded fruit is diverted automatically to the correct outlet — export, domestic retail, processing, or cull — with a digital quality record per batch.
Throughput and accuracy
The system is built for industrial packhouse environments: high-speed imaging, 95%+ grading accuracy across measured parameters, and throughput suitable from regional packhouses to large processing facilities. Exact capacity depends on fruit size, line configuration, and number of grades — our team sizes the line to your peak-season volume during discovery.
Where it fits in your line
Typical placement is after washing and drying, before packing or bulk filling. Sorted tomatoes can feed directly into FlowStar weighing and bagging, or into tray and clamshell packing with the Tray Packer Robot for retail-ready presentation — grade-to-pack with minimal handling.
Deployment results
Intello Labs has deployed more than 100 AI sorting and grading machines across India and international markets, including high-volume tomato and multi-commodity lines. Outcomes partners report include faster turnaround during peak season, fewer customer claims on grade mix, and labour redeployed to packing and logistics instead of repetitive sorting. For a commodity-specific walkthrough — including line layout similar to large tomato processor deployments — request a demo with sample fruit from your operation.
Related solutions
Vegetable sorting machine · Fruit packing machine · Full product stack