Maf Roda
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Maf Roda

Conditioning

Turnkey solutions for cherry conditioning and packaging

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The MAF RODA Group specializes in developing and manufacturing processing technology for fresh fruits and vegetables. With over 100 years of experience in the produce sector, it operates across international markets and provides solutions for every stage of cherry post-harvest processing including feeding, treatment, grading, sorting, packaging, boxing, and final palletizing.


Sampling Line

The sampling line enables rapid fruit evaluation upon intake, delivering results in under a minute. The system analyzes physical and quality characteristics such as size, color, firmness, and sugar content, providing consistent data for decision-making. It eliminates human error, generates reports, and increases sample sizes with zero product loss.


Cluster Cutter System

Available in two configurations designed to adapt to different requirements and product characteristics:

MECHANICAL

Uses a set of adjustable cutting elements to individually separate cherries from clusters. The design can be adjusted to different stem lengths, allowing the process to adapt to the fruit's characteristics.


HYDRAULIC

Uses water action to separate clusters into individual cherries. This method minimizes mechanical damage during the process and maintains product integrity, preserving the stem and reducing defects associated with uneven cuts.


CHERRYWAY IV: Grading Systems

Cherryway IV is a patented four-movement rotation grader that enables full inspection of the entire cherry surface, including the apical end. Thanks to a bicone system, the fruit is oriented transversely and rotates in a controlled manner, providing a complete view without the stem obstructing image capture. This improves the accuracy of fruit inspection and quality assessment.

 

 

CHERRYSCAN G7: Quality System

The CherryScan G7 external quality analysis system uses high-resolution multispectral cameras to capture images of the entire surface of each cherry. This allows for the evaluation of various parameters, including color, size, diameter, external defects, morphology, and firmness.

This analytical capability is complemented by CherryQS software powered by artificial intelligence that features an updated interface. This interface simplifies operation and enables more agile, personalized adjustments to sorting criteria, providing greater autonomy in configuring the processes.


Automatic Packing Systems

The company offers a wide range of commercial formats providing various cherry packing solutions aimed at delivering greater versatility on processing lines. Key available equipment includes:


Multi-Format Small-Pack Filler

Integrated directly into the production line, the multi-format small-pack filler is designed to fill and weigh small-format containers with high precision. Its configuration adapts to different container types, such as baskets, punnets, or clamshells. Additionally, it can be paired with automatic denesting and lidding systems to further automate the process.


MGC4: Weight-Controlled Bulk Box Filler

MGC4 receives product directly from the sorting system and fills bulk boxes using precise weight control. Its design minimizes fruit handling during operation and easily adapts to different container sizes and formats.


Automatic Palletizing and End-of-Line Systems

End-of-line automation featuring a wide range of solutions, from palletizing and strapping systems to automated guided vehicles (AGVs).

MAF RODA's palletizer range includes Cartesian, single-format, layer, and robotic models to adapt the process to each packhouse's formats, workflows, and production volumes.

Furthermore, automated guided vehicles (AGV) can be integrated into the end-of-line process to fully automate the movement of both full and empty pallets or bins.

This automates both palletizing and internal logistics, achieving greater control over product flows, complete traceability, and allowing a single operator to supervise end-of-line and dispatch operations.

 

 

 

 

 

 

 

 

 

 

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