Types of Fruit Sorting Machines
Fruit sorting machines are essential tools in modern agriculture, food processing, and distribution. They streamline the post-harvest handling of fruits by automating the separation process based on various quality parameters. Widely adopted by large-scale agricultural industries and small-to-medium enterprises alike, these machines ensure consistency, reduce labor costs, and improve product quality. With rapid advancements in technology, intelligent and automated systems are now transforming traditional sorting practices into highly efficient, data-driven operations.
Mechanical Size-Based Sorters
These are the most basic and widely used fruit sorting machines, primarily designed to separate fruits by physical dimensions such as diameter or weight.
Advantages
- Simple design and easy to operate
- Low initial investment and maintenance cost
- Reliable for uniform-shaped fruits like apples, oranges, and potatoes
- No need for electricity in purely mechanical models
Limitations
- Limited to size and weight sorting only
- Cannot detect color, ripeness, or surface defects
- Less accurate with irregularly shaped fruits
- Higher risk of fruit damage due to mechanical contact
Best for: Small farms, local markets, and operations with budget constraints
Optical Sorting Machines
Advanced systems that use high-resolution cameras, LED lighting, and image processing software to analyze fruit characteristics such as color, shape, and surface blemishes.
Advantages
- High accuracy in detecting color and visual defects
- Capable of sorting by ripeness level and maturity
- Non-contact technology reduces fruit damage
- Fast processing speeds suitable for large volumes
Limitations
- Higher upfront cost and technical complexity
- Requires trained personnel for operation and maintenance
- May struggle with internal defects not visible externally
- Needs consistent lighting and clean surfaces for optimal performance
Best for: Commercial packing houses, export-oriented producers, premium fruit grading
Sensor-Based Quality Graders
Equipped with advanced sensors such as NIR (Near-Infrared), X-ray, or laser systems, these machines go beyond appearance to assess internal quality factors like sugar content, firmness, and moisture levels.
Advantages
- Measures internal quality (e.g., Brix level, dry matter)
- Enables nutritional and taste-based grading
- Reduces waste by identifying spoiled or overripe fruits internally
- Supports premium pricing through quality assurance
Limitations
- Very high initial investment
- Complex calibration and software requirements
- Slower processing speed compared to optical sorters
- Limited availability and specialized service needs
Best for: High-end processors, research facilities, and specialty fruit producers
Automated Modular Systems
Integrated solutions combining feeding, sorting, grading, and packaging in a single automated line. These systems often include robotic arms, conveyor networks, and AI-powered decision-making.
Advantages
- End-to-end automation minimizes human intervention
- High throughput and consistent output
- Scalable design for growing operations
- Real-time data tracking and reporting capabilities
Limitations
- Expensive and space-intensive
- Requires significant infrastructure and power
- Long setup and integration time
- Overkill for small-scale operations
Best for: Large agribusinesses, export facilities, and integrated food processing plants
| Type | Sorting Criteria | Accuracy | Cost Level | Ideal Use Case |
|---|---|---|---|---|
| Mechanical Size-Based | Size, Weight | Medium | Low | Small farms, local markets |
| Optical Sorting | Color, Shape, Surface Defects | High | Medium-High | Commercial packing, export |
| Sensor-Based Quality Graders | Nutritional Value, Internal Quality | Very High | High | Premium grading, research |
| Automated Modular Systems | Multiple Parameters + Packaging | Very High | Very High | Large-scale processing plants |
Additional Features in Modern Fruit Sorting Machines
Today’s advanced fruit sorting machines come with several innovative features that enhance efficiency and usability:
- Automatic Feeding Systems: Ensure a steady, controlled flow of fruits onto the conveyor, reducing jams and improving sorting consistency.
- Self-Adjusting Conveyors: Adapt to different fruit types and sizes without manual recalibration.
- Touchscreen Interfaces: Allow operators to set sorting parameters, monitor performance, and receive alerts in real time.
- Mobile and Compact Designs: Portable models are increasingly popular among small farms and seasonal operations. These units can be easily moved between locations, making them ideal for on-site sorting at orchards or markets.
- AI and Machine Learning Integration: Some high-end systems learn from past sorting data to improve accuracy over time, adapting to seasonal variations in fruit quality.
Expert Tip: When selecting a fruit sorting machine, consider not only your current volume but also future scalability. A modular system may have a higher initial cost but can save money in the long run by adapting to growing production needs without full replacement.
In summary, the evolution from basic mechanical sorters to intelligent, multi-sensor systems reflects the growing demand for precision, efficiency, and food safety in the agricultural sector. Whether you're a small grower or a large processor, choosing the right type of fruit sorting machine can significantly impact product quality, marketability, and operational profitability.
Specifications and Maintenance of Fruit Sorting Machines
Fruit sorting machines are essential in modern agricultural and food processing operations, enabling efficient grading, quality control, and packaging of fresh produce. These systems enhance productivity, reduce labor costs, and ensure consistent product standards. Understanding their key specifications and implementing proper maintenance practices is crucial for maximizing performance, longevity, and food safety compliance.
Key Specifications of Fruit Sorting Machines
The effectiveness of a fruit sorting machine depends on several technical and operational factors. Below is a detailed breakdown of the most important specifications to consider when selecting or evaluating a system.
Processing Capacity
Processing capacity refers to the number of fruits a machine can sort per hour and is one of the most critical performance indicators. It directly impacts throughput and suitability for different operation scales.
Small-scale units, ideal for local farms or packing houses, typically handle 500–1,000 fruits per hour. Mid-range systems process 1,000–2,000 fruits hourly, while high-capacity industrial machines can sort up to 3,000 or more fruits per hour—making them suitable for large export facilities or commercial processors.
When selecting a machine, match the capacity to your daily volume to avoid bottlenecks or underutilization.
Sorting Accuracy
Sorting accuracy measures how precisely the machine identifies and categorizes fruits based on predefined criteria such as size, color, weight, shape, and internal quality (e.g., sugar content or defects).
Modern fruit sorters achieve an impressive accuracy rate of 95% to 98%, thanks to advanced sensor technologies and AI-driven algorithms. Factors influencing accuracy include proper calibration, fruit surface cleanliness, lighting conditions, and regular maintenance.
High accuracy reduces waste, improves consistency, and enhances market value by ensuring only premium-grade fruits reach consumers.
Fruit Handling Mechanism
Gentle fruit handling is vital to prevent bruising, cracking, or other damage that compromises shelf life and quality. Advanced sorting machines use soft-touch conveyors, cushioned rollers, and adjustable chutes designed to accommodate various fruit types—from delicate berries to firm citrus or apples.
Many systems offer customizable belt speeds, spacing, and transfer points to minimize impact during transit. Ergonomic design ensures smooth movement from intake to discharge, preserving fruit integrity throughout the sorting process.
Technology Integration
Today’s fruit sorting machines leverage cutting-edge technologies to deliver superior performance and intelligent grading. Common technologies include:
- Optical Recognition: Uses high-resolution cameras to assess color, shape, and surface blemishes.
- Artificial Intelligence (AI): Learns from data to improve sorting decisions over time, adapting to seasonal variations.
- Near-Infrared (NIR) Spectroscopy: Detects internal qualities like sugar (Brix), acidity, and dry matter without damaging the fruit.
- X-Ray Imaging: Identifies internal defects such as pits, hollow cores, or foreign objects.
Combining multiple technologies allows for multi-dimensional sorting, enabling processors to meet strict quality and export standards.
Power Requirements
Fruit sorting machines vary in energy consumption depending on size, automation level, and technology used. Most systems operate on standard electrical supplies and consume between 1.5 kW to 7.5 kW per hour.
Despite their advanced features, modern sorters are engineered for energy efficiency, often incorporating variable speed drives and auto-shutdown functions to reduce power usage during idle periods. Energy-efficient models help lower operational costs and support sustainability goals.
Customization & Flexibility
Leading fruit sorting machines offer modular designs that allow customization based on fruit type (e.g., apples, tomatoes, citrus, stone fruits), size range, and desired output categories (e.g., by weight, color, ripeness).
They support quick changeovers between different fruit varieties and grading programs, making them ideal for facilities handling diverse produce. Touchscreen interfaces and programmable logic controllers (PLCs) simplify setup and monitoring.
| Specification | Typical Range | Selection Guidance |
|---|---|---|
| Processing Capacity | 500 – 3,000+ fruits/hour | Choose based on daily volume; allow 20–30% headroom for peak seasons |
| Sorting Accuracy | 95% – 98% | Ensure regular calibration and clean sensors for optimal results |
| Energy Consumption | 1.5 – 7.5 kW/h | Select energy-efficient models with smart power management |
| Technology Type | Optical, NIR, AI, X-ray | Combine technologies for comprehensive internal and external analysis |
| Fruit Compatibility | Apples, citrus, tomatoes, berries, etc. | Verify machine settings and belt types for your primary crops |
Essential Maintenance Practices
While fruit sorting machines are highly automated, routine maintenance is essential to ensure consistent performance, food safety, and equipment longevity. Neglecting upkeep can lead to inaccurate sorting, contamination risks, and costly downtime.
Important: Failure to perform regular maintenance can result in reduced sorting accuracy, increased downtime, and potential contamination of food products. Always power off and lock out the machine before conducting any cleaning or repairs. Using non-approved parts or chemicals may void warranties and compromise safety certifications. Consistent care ensures optimal performance, extends machine life, and supports compliance with food safety standards such as HACCP and ISO 22000.
Uses of a Fruit Sorting Machine
Fruit sorting machines are revolutionizing the fresh produce industry by enabling food businesses—such as packers, processors, wholesalers, and exporters—to efficiently and accurately sort high volumes of fruits with minimal human intervention. These advanced systems combine automation, computer vision, and sensor technology to deliver consistent quality, reduce waste, and improve profitability across the supply chain.
High-Volume Processing & Labor Efficiency
Modern fruit sorting machines dramatically increase throughput while reducing labor costs. For example, large-scale systems like Giant Octane fruit sizers can process over 14,000 oranges per hour with only a 3-person workforce, making them ideal for industrial packing lines.
- Automated feeding and discharge systems minimize manual handling
- Continuous operation ensures consistent output during peak harvest seasons
- Reduced dependency on seasonal labor improves operational stability
Key benefit: Significant ROI through increased productivity and reduced labor overhead
Precision Grading for Export Markets
Many countries have strict import regulations regarding fruit size, color, and quality. Sorting machines ensure compliance by precisely classifying produce according to international standards.
- Apple sorting machines categorize fruits by diameter, weight, and surface blemishes to meet EU or Asian market requirements
- Laser-based sizing guarantees uniformity in packaging
- Digital imaging detects minor defects invisible to the human eye
Pro tip: Use customizable grading algorithms to align with specific buyer specifications
Multi-Parameter Sorting Capabilities
Fruit sorting machines go beyond basic size separation. They use advanced sensors to evaluate multiple quality attributes simultaneously, ensuring only the best fruits proceed to packaging or processing.
- Size & Weight: Mechanical rollers and load cells sort fruits into precise categories
- Color & Ripeness: RGB and hyperspectral cameras analyze skin tone and internal sugar content (Brix levels)
- Shape & Defects: 3D imaging identifies misshapen or damaged fruits
- Firmness & Internal Quality: Near-infrared (NIR) spectroscopy detects bruising, rot, or core breakdown without cutting the fruit
- Processing Suitability: Identifies optimal fruits for juicing, pureeing, drying, or canning based on ripeness and texture
Technical insight: Machine learning algorithms improve accuracy over time by adapting to new fruit varieties and conditions
Food Safety & Waste Reduction
By automatically detecting and removing spoiled, bruised, or contaminated fruits, sorting machines play a crucial role in maintaining food safety and minimizing economic losses.
- Real-time rejection of overripe, moldy, or insect-damaged fruits prevents contamination of entire batches
- Odor and gas sensors (in advanced models) detect fermentation or musty smells indicating early spoilage
- Traceability systems log quality data for each batch, supporting HACCP and audit compliance
- Reduced post-harvest losses—up to 30% less waste compared to manual sorting
Critical advantage: Enhanced consumer safety and brand protection through consistent quality control
Applications in Processing Industries
Beyond fresh market packing, fruit sorting machines are essential in food processing facilities where raw material consistency directly impacts final product quality.
- Canning Industry: Mangoes, pears, peaches, pineapples, and strawberries are sorted for ripeness, size, and defect-free surfaces before canning
- Jam & Jelly Production: Only fully ripe, high-sugar fruits are selected to ensure consistent flavor and gel formation
- Juice & Concentrate Manufacturing: Machines separate fruits suitable for juicing (higher juice yield, optimal Brix) from those better suited for other uses
- Drying & Freezing: Uniform size and moisture content improve processing efficiency and product shelf life
Industry insight: Integrated sorting lines reduce downtime and ensure a steady flow of standardized input materials
Shelf Life Extension & Market Value
Properly sorted fruits experience less handling damage and are more likely to reach consumers in peak condition, directly impacting freshness, shelf life, and retail value.
- Gentle conveyor systems and non-contact sensors minimize physical damage during sorting
- Accurate ripeness grading allows for optimized cold chain management and storage duration
- Consumers are willing to pay premium prices for consistently high-quality, visually appealing produce
- Branded packaging of machine-sorted fruits enhances market positioning and customer trust
Market trend: Retailers increasingly demand traceable, machine-graded produce to meet consumer expectations
Professional Recommendation: When investing in a fruit sorting machine, consider your primary use case—export packing, processing, or domestic distribution—and select a system with scalable sorting parameters. Look for modular designs that allow future upgrades in imaging, software, or throughput capacity. Partner with suppliers who offer training, maintenance support, and integration services to maximize long-term performance.
| Industry | Primary Use Case | Key Sorting Parameters | Expected Efficiency Gain |
|---|---|---|---|
| Fresh Produce Packers | Export & Retail Packaging | Size, Color, Shape, Surface Defects | 40–60% faster than manual sorting |
| Fruit Juice Processors | Raw Material Selection | Brix Level, Internal Defects, Ripeness | 25–35% reduction in substandard input |
| Canning Factories | Pre-Processing Grading | Firmness, Size Uniformity, Absence of Bruising | 30% less waste, improved product consistency |
| Dried Fruit Manufacturers | Moisture & Ripeness Screening | Sugar Content, Skin Integrity, Size | Enhanced drying efficiency and flavor profile |
Additional Benefits and Considerations
- Data-Driven Insights: Modern machines generate analytics on yield, defect rates, and quality trends to inform harvesting and sourcing decisions
- Sustainability: Reduced food waste and optimized resource use contribute to environmental goals and ESG reporting
- Integration: Compatible with existing packing lines, cold storage systems, and ERP software for end-to-end traceability
- Hygiene: Stainless steel construction and washdown designs meet food-grade sanitation standards (e.g., USDA, FDA, EHEDG)
- Versatility: Many systems can be reprogrammed for different fruit types—apples, citrus, stone fruits, berries—without hardware changes
Overall, fruit sorting machines are indispensable tools in the modern agri-food industry. They empower businesses to meet rising quality expectations, comply with global standards, reduce losses, and enhance profitability. As consumer demand for fresh, safe, and consistent produce continues to grow, the role of automated sorting technology will only become more critical across the entire fruit supply chain—from farm to fork.
How to Choose the Right Fruit Sorting Machine: A Comprehensive Buyer’s Guide
Selecting the ideal fruit grading machine is a critical decision for farms, packing houses, and agribusinesses aiming to improve efficiency, reduce waste, and maintain high-quality standards. With a wide range of technologies and configurations available, choosing the right fruit sorting conveyor requires careful evaluation of multiple factors. This guide outlines the key considerations to help buyers make informed decisions—whether investing for their own operations or sourcing machines for resale to consumers.
Important Note: The performance and longevity of a fruit sorting machine depend not only on initial selection but also on proper maintenance, operator training, and compatibility with existing post-harvest systems. Always consult with manufacturers or agricultural engineers to ensure seamless integration.
Key Factors to Consider When Choosing a Fruit Sorting Machine
- Fruit Variety and Handling Requirements
Not all fruits are created equal—each type has unique physical properties that influence the ideal sorting mechanism. Selecting a machine tailored to your specific produce ensures optimal performance and minimizes product damage.
- Delicate fruits (e.g., berries, cherries, peaches): Require gentle conveyor systems such as low-impact rollers, soft belts, or water-based flotation systems to prevent bruising and skin damage.
- Robust fruits (e.g., apples, oranges, potatoes): Can be processed using faster, more rigid sorting lines with mechanical rollers or vibrating trays.
- Irregularly shaped fruits (e.g., pears, plums): Benefit from advanced optical sorting with 3D imaging to accurately assess size, shape, and orientation.
- Maturity and ripeness detection: Some machines use near-infrared (NIR) spectroscopy to measure sugar content (Brix), firmness, and internal defects non-destructively.
Ensure the machine is compatible with the size range, weight, and surface texture of your fruits. Modular designs allow for future adaptation if crop varieties change.
- Level of Automation and Technological Features
The degree of automation directly impacts labor costs, sorting accuracy, and throughput. Modern fruit sorters range from semi-automatic models to fully autonomous AI-driven systems.
- Manual or semi-automatic sorters: Ideal for small farms or startups with limited budgets. These require operator input for grading but offer basic size and color sorting.
- Automated optical sorters: Use high-resolution cameras, lasers, and sensors to detect color, size, shape, surface blemishes, and even internal defects.
- AI-powered sorting: Advanced systems leverage machine learning to improve grading accuracy over time by recognizing patterns in fruit quality and defects.
- Integration capabilities: Look for machines that can connect to farm management software, allowing real-time data tracking on yield, quality, and machine performance.
While higher automation increases upfront costs, it often delivers a strong return on investment through reduced labor, improved consistency, and premium market access due to higher quality control.
- Capacity and Throughput Requirements
Matching the machine’s capacity to your production volume is essential to avoid bottlenecks or underutilization.
- Throughput is typically measured in fruits per hour (FPH) or tons per hour (TPH), depending on the model.
- Small-scale operations (e.g., 1–5 tons/day) may benefit from compact sorters handling 1,000–3,000 fruits per hour.
- Medium to large packing facilities (10+ tons/day) require industrial-grade machines capable of processing 10,000+ fruits per hour.
- Consider peak harvest periods—choose a machine with some buffer capacity to handle seasonal spikes without downtime.
Also evaluate the machine’s scalability. Some models allow for additional lanes or modules to be added later as your operation grows.
- Budget, Cost of Ownership, and Long-Term Value
While initial price is important, total cost of ownership (TCO) provides a more accurate picture of long-term value.
- Entry-level manual sorters may cost between $5,000–$15,000, suitable for small farms.
- Mid-range automated systems range from $30,000–$100,000, offering optical sorting and moderate throughput.
- High-end AI-powered sorters can exceed $200,000 but deliver precision grading, minimal waste, and integration with digital agriculture platforms.
- Factor in ongoing costs: maintenance, spare parts, energy consumption, software updates, and operator training.
- Consider financing options, leasing, or government subsidies for agricultural technology adoption.
Investing in a high-quality, durable machine—even if slightly above budget—can reduce downtime, improve product quality, and increase market competitiveness over time.
| Fruit Type | Recommended Sorting Technology | Key Features to Look For | Estimated Throughput Range |
|---|---|---|---|
| Apples, Pears, Oranges | Optical + Weight Grading | Color, size, weight, blemish detection | 3,000 – 20,000 FPH |
| Strawberries, Blueberries | Gentle Belt + Camera Inspection | Soft conveyors, bruise detection, mold spotting | 1,000 – 8,000 FPH |
| Tomatoes, Peaches | Low-Impact Roller + NIR Sensing | Firmness, ripeness, internal defect detection | 2,000 – 10,000 FPH |
| Citrus (Oranges, Lemons) | Laser Scanning + Color Sorting | Peel thickness, oil content, external defects | 5,000 – 15,000 FPH |
| Mixed or Specialty Fruits | AI-Powered Multi-Sensor System | Customizable grading logic, learning algorithms | 2,000 – 12,000 FPH |
Expert Tip: Request a live demonstration or trial run with your actual fruit before purchasing. This allows you to evaluate sorting accuracy, handling gentleness, and ease of operation under real-world conditions. Many manufacturers offer on-site testing or video demonstrations with sample produce.
Additional Selection Tips
- After-sales support: Choose a supplier with reliable technical support, spare parts availability, and on-site service options.
- Hygiene and cleanability: Machines should be constructed from food-grade materials (e.g., stainless steel) and designed for easy cleaning to meet food safety standards (e.g., FDA, HACCP).
- Energy efficiency: Opt for models with variable speed drives and low-power sensors to reduce operational costs.
- User interface: A clear, intuitive control panel with preset programs simplifies operation and reduces training time.
- Future-proofing: Select machines with software-upgradable features to accommodate new grading standards or fruit types.
Ultimately, the best fruit sorting machine aligns with your specific production goals, crop characteristics, and financial capabilities. By carefully evaluating fruit type, automation level, capacity needs, and total cost of ownership, you can make a strategic investment that enhances quality, efficiency, and profitability. When in doubt, consult with agricultural equipment specialists or request references from existing users to validate performance claims.
Fruit Sorting Machine: Frequently Asked Questions
One of the biggest challenges in fruit sorting is striking the right balance between automation and human labor. While modern technology has significantly reduced the need for large manual workforces, human oversight remains essential for quality control, maintenance, and handling irregularities that machines may miss.
- Labor Optimization: Determining the optimal number of personnel needed to support automated systems without overstaffing or under-resourcing.
- Variability in Produce: Natural differences in fruit size, shape, color, and ripeness make consistent sorting difficult, especially with delicate or irregularly shaped fruits.
- Integration Complexity: Merging new automated systems with existing infrastructure can be technically challenging and costly.
- Cost vs. ROI: High initial investment in automated sorting equipment requires careful evaluation of long-term efficiency gains and return on investment.
Successful fruit sorting operations depend on a well-coordinated blend of smart automation and skilled human input to maintain both efficiency and product quality.
A fruit sorting conveyor system uses advanced technology to automatically categorize fruits based on specific quality parameters. The process typically follows these key stages:
- Feeding: Fruits are placed onto a conveyor belt, often in a single file to ensure accurate scanning.
- Imaging & Sensing: High-resolution cameras and sensors (including visible, near-infrared, and hyperspectral imaging) capture detailed data about each fruit’s appearance, internal quality, and composition.
- Data Analysis: Software analyzes the collected data to assess characteristics such as size, weight, color, sugar content (Brix), firmness, and presence of defects like bruises or blemishes.
- Classification: Based on predefined criteria, the system assigns each fruit to a category (e.g., premium, standard, processing).
- Sorting: Mechanical actuators—such as air jets, robotic arms, or diverters—gently push or redirect fruits into designated lanes or bins.
This streamlined process ensures that fruits are grouped uniformly, greatly improving packing speed, reducing waste, and enhancing overall product consistency for consumers and retailers alike.
Automated fruit sorting is an advanced, technology-driven process that replaces or significantly reduces manual labor in grading and separating fruits. It leverages computerized systems, robotics, and artificial intelligence to perform tasks with high speed, precision, and repeatability.
- Core Components: Includes conveyor systems, imaging stations, AI-powered software, and mechanical sorting mechanisms.
- Efficiency Gains: Can process thousands of fruits per hour with minimal errors, far exceeding human capabilities in both speed and consistency.
- Quality Assurance: Enables objective, data-based decisions rather than subjective human judgment, leading to more uniform product standards.
- Scalability: Ideal for large-scale packing houses and export facilities where volume and quality compliance are critical.
By minimizing human error and maximizing throughput, automated fruit sorting enhances profitability, food safety, and brand reputation in the global fresh produce market.
Technological advancements have revolutionized the fruit sorting and packing industry, making it faster, smarter, and more sustainable. Key innovations include:
| Technology | Application in Fruit Sorting | Benefits |
|---|---|---|
| Machine Vision | Uses high-speed cameras to inspect surface features like color, size, and defects. | Enables real-time, non-destructive quality assessment with high accuracy. |
| Artificial Intelligence (AI) | Trains systems to recognize patterns and improve sorting decisions over time through machine learning. | Adapts to seasonal variations and learns from feedback, increasing precision and reducing false rejects. |
| Near-Infrared (NIR) Spectroscopy | Measures internal qualities such as sugar content, acidity, and dry matter without damaging the fruit. | Allows grading based on taste and ripeness, not just appearance—valuable for premium markets. |
| Robotics & Pneumatics | Employs air jets or robotic arms to sort fruits gently and accurately. | Reduces bruising and damage while maintaining high throughput. |
| IoT & Data Analytics | Connects machines to central systems for monitoring performance, yield tracking, and predictive maintenance. | Improves operational efficiency and enables data-driven decision-making across the supply chain. |
Together, these technologies have elevated fruit packing from a labor-intensive process to a highly optimized, science-based operation. The result is improved shelf life, better consumer satisfaction, reduced waste, and greater competitiveness in international markets.








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