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TOMRA to unveil breakthrough blueberry sorter and demonstrate LUCAi™ deep learning across diverse produce at Fruit Logistica Berlin

A new standard in precision and blueberry packhouse performance

TOMRA presentará un innovador clasificador de arándanos y demostrará el deep learning LUCAi™ para múltiples categorías de producto en Fruit Logistica Berlín (1).jpg
26 January, 2026
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At Fruit Logistica Berlin 2026, TOMRA Food will introduce a breakthrough blueberry optical grader designed for one of the industry’s fastest growing segments. From infeed through to discharge, this new solution gives blueberry growers and packers precise control and will ensure maximum value is extracted from each and every blueberry.

Powered by Spectrim with LUCAi TM , the system prioritizes the factors that matter most to growers and packers: accurate dehydration detectiong, exceptional bloom retention, low‑impact transfer points, grading accuracy, and optimized throughput.

Every mechanical interaction from infeed to discharge has been refined to reduce abrasion, pressure, and drop heights, ensuring berries maintain their natural protective coating and visual appeal.

Troy Cleaver, Senior Product Manager at TOMRA Food, , explains: 

“This new optical grader is a step forward for the blueberry industry” "we focused on what truly matters to blueberry growers and packers: bloom retention, low‑impact handling, grading accuracy, and optimized throughput”,“This solution is designed to protect the fruit’s natural integrity while giving operators unprecedented control.”

 

LUCAi™: Deep learning trained on real fruit defects

Visitors can experience LUCAi™ through live demos of Spectrim with LUCAi™ and InVision2 with LUCAi™, seeing how operators work with the system.

LUCAi™ is trained on millions of real fruit defects, with data and images collected across multiple seasons, segments and geographies. This allows LUCAi TM to know
the difference between traditionally hard to identify defects a. For packhouses, this helps them stay in control of the final sort parameters and remain consistent even
when labor is tight or seasonal teams are new.

  • Spectrim with LUCAi™ detects subtle defects in apples, citrus, kiwifruit, and stone fruit, helping reduce labor needs, tighten quality control, cut waste, and
    increase premium‑grade pack‑out.
  • InVision2 with LUCAi™ sets new benchmarks for cherry sorting and quality consistency by boosting profitability and providing operational consistency.

LUCAi™ provides clear defect classification, confidence levels, and severity scoring so operators can get the best value from every piece of fruit.


Christian Tougaard, TOMRA Food’s Regional Sales Director for EMEA, says:

“Customers around the world have praised LUCAi TM and the control it provides their operators,”  “It's exciting to see LUCAi TM , be made available for a range of segments, apples, cherries, blueberries, citrus, stonefruit and kiwifruit. It's a huge leap forward from traditional mapping systems.”

Processed sorting solutions

For visitors that run processed foods, such as french fries, nuts, and IQF items, TOMRA will have experts on hand to take you through our solutions:

  • TOMRA 5B – An advanced belt sorter delivering high accuracy and flexibility across a wide range of IQF applications.
  • TOMRA 5C – Combines high‑resolution lasers, BSI sensors, and machine learning to continuously refine sorting for berries, mangoes, nuts, and dried fruit.
  • TOMRA 4C (NEW) – A compact, easy‑to‑clean system designed to sabe operators time while delivering strong performance on nut and IQF sorting.

Visitors can find TOMRA Food and Integration Partner ICOEL in Hall 4.1, Stand B 41.

About TOMRA Food

TOMRA Food designs and manufactures sensor‑based sorting machines and  integrated postharvest solutions that help growers and processors reduce waste,
improve food safety, and make better use of resources. More than 13,000 TOMRA units are installed in over 80 countries, supporting categories including confectionery, fruit, dried fruit, grains and seeds, potatoes, proteins, nuts, and vegetables.

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