Evaluating Pineapple Quality Using a Ranking System

Jenn Hoskins
2nd September, 2025

Evaluating Pineapple Quality Using a Ranking System

Pineapple (Ananas comosus)

Photo adapted from: Daniel Patterson / CC BY (Source)

Key Findings

  • Chinese researchers developed a new system to evaluate pineapple quality in Guangdong Province, considering both measurable factors and consumer preferences
  • Taste quality is the most important factor for consumers when assessing pineapples, but commodity quality is also crucial for overall evaluation
  • Combining expert opinions with objective data analysis refines pineapple quality assessment, aligning it better with what consumers want without losing scientific accuracy
Evaluating Pineapple Quality: Combining Data and Consumer Preference Pineapple quality is a complex issue. Determining whether a pineapple is ‘good’ isn’t simply about one measurement; it involves factors like sweetness, firmness, colour, and even how long it will stay fresh. This creates challenges for both producers and consumers, as objective measures don't always align with what people actually want in a pineapple.[1] Researchers at the Chinese Academy of Tropical Agricultural Sciences, working with Lusofona University of Humanities and Technologies, have developed a new system to evaluate pineapple quality, aiming to bridge this gap between objective data and subjective consumer preferences. The core problem is that traditional quality assessments often rely heavily on either purely objective data (chemical analyses, weight loss) or subjective opinions (taste panels). Objective data can be precise, but may not capture the full experience of eating a pineapple. Subjective data can be influenced by individual tastes and biases. The new study tackles this by combining both approaches. The researchers constructed an ‘evaluation index system’ – essentially a comprehensive list of factors that contribute to pineapple quality. This list includes measurable characteristics, but also incorporates consumer preferences. To determine the relative importance of each factor, they used a combination of methods. The Delphi method, a structured technique involving expert opinions, was used to initially identify key quality indicators. This was then refined using the Analytic Hierarchy Process (AHP), a method where experts compare factors in pairs to establish a hierarchy of importance. However, simply asking experts what’s important isn’t enough. The study also employed the entropy weight method, an objective technique that calculates weights based on the variability of the data. Factors with greater variability (meaning they change more noticeably between pineapples) are given higher weights, reflecting their greater potential to differentiate between good and bad quality fruit. The researchers then combined these subjective (Delphi/AHP) and objective (entropy weight) weights to create a ‘comprehensive quality evaluation value’ for each pineapple. To validate the system, they compared these values before and after weighting. A strong correlation (0.908) was found, indicating that the weighting process didn’t fundamentally alter the underlying quality assessment, but rather refined it to better reflect consumer preferences. This is important because the weighting method is designed to adjust the evaluation within a defined range, preserving the integrity of the objective data. This work builds upon previous research into pineapple quality assessment. For example,[2] developed a predictive model for pineapple shelf-life based on microbial growth, vitamin C content, and weight loss. This study identified Total Viable Count (TVC) and Weight Loss (WL) as key indicators of remaining shelf-life, with acceptable limits defined for vitamin C loss and weight loss based on sensory changes. The current study doesn’t directly predict shelf-life, but it could be integrated with such models. By incorporating consumer preferences into the evaluation system, it could help refine the ‘acceptable limits’ identified in[2], tailoring them to specific market segments. A consumer who prioritizes sweetness, for example, might accept slightly faster weight loss in exchange for a more flavorful pineapple. Furthermore, the integration of multiple indicators aligns with the increasing complexity of food quality assessment. The researchers aimed to create a system that objectively reflects the “true quality” of pineapples from various dimensions, and this is a significant step forward. The use of multiple methods – Delphi, AHP, and entropy weighting – is also noteworthy. Each method has its strengths and weaknesses, and combining them provides a more robust and reliable assessment. The researchers acknowledge that the weighting process is designed to reflect subjective preferences without destroying the objective quality assessment. This is crucial, as a purely subjective evaluation could lead to inconsistencies and inaccuracies.

FruitsAgricultureNutrition

References

Main Study

1) Application of a SODOSM-based MCDM method for evaluating comprehensive fruit quality: A case study of pineapple

Published 2nd September, 2025

https://doi.org/10.1371/journal.pone.0330496

Related Studies

2) Kinetic models applied to quality change and shelf-life prediction of fresh-cut pineapple in food cold chain.

https://doi.org/10.1016/j.foodchem.2023.137803


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