Imaging Solutions for Harvest Quality Assessment

Turn post-harvest imaging into automated grading and actionable quality insights.

Imaging Solutions for Post-harvest Quality:

Industrial-grade imaging solutions to create new standards in post-harvest quality analysis.

Hiphen’s post-harvest solutions are designed to operate in real-world conditions, from sampling stations to high-throughput industrial lines. They enable the assessment of key quality traits such as size, shape, color, surface condition, defects, and disease symptoms, while ensuring full traceability of measurements. Whether used for experimental validation, supplier qualification, or routine quality control, these systems deliver consistent results regardless of operator or location. A major strength of Hiphen’s approach lies in scalability and integration. Post-harvest imaging systems can be adapted to different throughput requirements, from targeted sampling to continuous flow measurements. Data can be consumed in real time or integrated into existing information systems through dedicated interfaces and APIs, enabling seamless connection with grading, logistics, or decision-support tools. This flexibility allows organizations to align quality assessment with their operational constraints and business objectives.

Grape Harvest Quality Scoring to Optimize Logistics

Reception imaging scores incoming grapes for color, bunch morphology and ripeness proxies, producing an objective quality grade for every crate and parcel.

Shelf-life & Fruit Degradation Scoring (R&D)

Samples are imaged under identical conditions on a fixed schedule; color change, shrinkage, blemishes and decay are scored to predict degradation rates and shelf-life.

Client Success Stories

Linen Fibers Quality Assessment in Real-time

A tailor-made system and software to measure 4 key indicators of linen fibers quality (long fibers) and generate a standardized evaluation of every processed lot. Real-time image acquisition and processing enable continuous assessment of long flax fibre quality throughout the entire production cycle. Developed in close collaboration with the European Flax Alliance, the solution also includes a comprehensive traceability system capable of generating detailed batch records for each supplier, helping to maximize the value of every batch while providing buyers with a certified and standardized guarantee of quality.

Champagne Grape Disease and Quality Scoring in Real-time

Smart imaging system loaded with AI-powered detection models to score disease infestation in grape crates at harvest, to better organize the constitution of homogeneous grape batches before pressing the juice. The quality rating delivered by the Hiphen algorithms makes it possible to better control the quality of the batches of grapes before pressing and making the musts. This new batches made from objective data makes it possible to assemble identical quality grapes, which can then be valued by oenologists to make the best champagnes year after year.