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    An AI Overview is not available for this searchCan't generate an AI overview right now. Try again later.
    AI Overview
    Automatic blueberry calyx removal and end-defect detection use advanced AI, computer vision, and machine learning to identify stem ends, calyx scars, cracks, and mold on high-speed conveyor belts. Technologies like Elifab’s True-AI and TOMRA’s AI-powered sorting analyze thousands of blueberries per minute to achieve near-perfect grading accuracy, significantly enhancing, sorting efficiency and reducing manual labor costs. 
    Key Aspects of Automated Calyx Detection 
    • AI Technology: Systems use deep learning, such as CNNs (Convolutional Neural Networks), to identify calyx ends and defects.
    • Imaging Techniques: High-tech scanners or cameras capture images of berries as they pass on conveyors, often using, e.g., the Elifab-Ellips or TOMRA systems to scan for imperfections.
    • Real-time Processing: Algorithms can detect calyxes and defects (like dehydration, splits, or mold) in real-time, often within minutes of being harvested.
    • Performance Metrics: Advanced models have achieved high accuracy for detecting calyxes and defects, with some methods reporting high precision in identifying surface damage or structural issues like stem tears.
    • Applications: This technology is used for automated sorting, grading, and quality control, ensuring that only top-quality blueberries are packaged and sold, reducing waste. 
    Key Technologies and Research 
    • Elifab AI: Specializes in detecting calyxes, stems, and defects such as dryness, mold, and cracks.
    • TOMRA: Uses AI to improve grading for stem holes, calyxes, and defects.
    • Research Developments: Recent studies, including those using YOLOv8 and Mask R-CNN, have improved the speed and accuracy of blueberry inspection and sorting for better quality control. 
    • Deep learning image segmentation and extraction of blueberry fruit ...
      Jul 1, 2020 — An iterative annotation strategy was developed to label images that reduced the annotation time. A Mask R-CNN model was trained an...
      Nature
    • Fully convolutional networks for blueberry bruising and calyx ...
      Apr 15, 2020 — The results indicate that when using the deep learning approach, blueberry bruises and calyx ends can be segmented from the bluebe...
      ScienceDirect.com
    • BlueberryNet: A Lightweight CNN for Real-Time Ripeness Detection ...
      Aug 10, 2025 — By combining channel mixing and group convolution mechanisms with structural reparameterization, it reduces computational complexi...
      MDPI
    • Blueberries MEGA FACTORY: Processing Thousands of ...
      Jan 15, 2024 — this secondary washing step is also essential for removing any remaining debris dirt or residues that may have persisted through t...
      3m
      YouTube·The Smart Farm
    • A Blueberry Maturity Detection Method Integrating Attention-Driven ...
      May 27, 2025 — Their model achieved an average recall of 92.0%, a mAP of 91.5% (at a threshold of 0.5), and a real-time detection speed of 67.1 f...
      MDPI
    • Integrated blueberry solutions | TOMRA
      Integrated blueberry solutions: post harvest to pack. TOMRA offers solutions for all varietals of blueberries, fresh to frozen. In...
      TOMRA
    • Elifab AI Blueberry grading machine - Ellips
      Ellips developed a new technology called True-AI. You can now deliver near-perfect grading accuracy through superior detection of ...
      ellips.com
    • Deep learning image segmentation and extraction of blueberry fruit ...
      Jul 1, 2020 — An iterative annotation strategy was developed to label images that reduced the annotation time. A Mask R-CNN model was trained an...
      Nature
    • Fully convolutional networks for blueberry bruising and calyx ...
      Apr 15, 2020 — The results indicate that when using the deep learning approach, blueberry bruises and calyx ends can be segmented from the bluebe...
      ScienceDirect.com
    • BlueberryNet: A Lightweight CNN for Real-Time Ripeness Detection ...
      Aug 10, 2025 — By combining channel mixing and group convolution mechanisms with structural reparameterization, it reduces computational complexi...
      MDPI
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    Videos
    5 Blueberry Harvesting Machines - Each Brand Have Special ...
    YouTube · Smart Farming Inside
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    Web results

    TOMRA Blueberry Infeed Solutions | Gentle & Efficient


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    Our range of Infeed solutions will help prepare your fruit for your optical grader, by removing foreign material and other undesirable product.Read more
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    Which state is the blueberry capital of the world?
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    Web results

    Visualization of blueberry and calyx scar detection results. ...


    ResearchGate
    https://www.researchgate.net › figure › Visualization-of...
    ResearchGate
    https://www.researchgate.net › figure › Visualization-of...
    Designed for real-world blueberry harvesting scenarios, the model addresses key challenges such as significant visual differences across ripeness stages, ...Read more
    Missing: Automatic ‎removal

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    Anhui Vsee Optoelectronic Technology Co., Ltd.
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    VSEE intelligent fruit sorting machine can comprehensively classify fruits in terms of appearance defects, weight and internal inspection.Read more

    Fully convolutional networks for blueberry bruising and ...


    ScienceDirect.com
    https://www.sciencedirect.com › article › abs › pii
    ScienceDirect.com
    https://www.sciencedirect.com › article › abs › pii
    by M Zhang · 2020 · Cited by 119 — The main goal of this study was to detect blueberries' internal bruising accurately, after mechanical damage from hyperspectral transmittance images (HSTIs).Read more
    Missing: removal ‎| Show results with: removal

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    Elifab AI Blueberry grading machine - Ellips


    ellips.com
    https://ellips.com › Fruit and vegetables
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    Integrated blueberry solutions


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    Nov 14, 2025 — "The main difference with the True-AI is that it can recognise the calyx and the stem with 100% accuracy," explains Rory Cole. Sometimes rust on ...Read more
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