Hyperspectral imaging can unlock the ripeness index of cherries

01 May 2025
76

Hyperspectral imaging can unlock the ripeness index of cherries. The two most important indicators in assessing cherry quality are their sweetness and acidity.

Commonly, the ripeness of the fruit is measured manually through destructive testing, which is inefficient and prone to errors. The chemical properties of cherries—particularly the content of soluble sugars, organic acids, and anthocyanins—are inextricably linked to their ripeness.

All of these compounds can also be detected through their reflectance spectrum, making it possible to classify the ripeness of cherries using this technique. The main goal of hyperspectral imaging technology is to develop a high-performance model that is complex, predictable, and stable.

Data analysis and modelling techniques

In general, the effectiveness of the model can be improved through proper data preprocessing, feature extraction, and modeling methods. Hyperspectral imaging technology (with wavelengths between 380–1030 nm) was implemented in this study to visually identify the acidity and flavor of cherries.

Researchers from Huzhou University and Chongqing University (China) employed two spectral pretreatment methods to enhance the imaging performance. In addition, three feature extraction methods and four modeling methods were compared, with two of them showing the best performance after analyzing the hyperspectral imaging data.

Figura 1. Processo operativo di acquisizione e analisi dei dati in questa ricerca

The waveforms of all the samples were largely consistent across the entire wavelength range. However, the reflectance intensity varied continuously. When the waveform represented the chemical structure and the reflectance intensity reflected the chemical concentration, the various cherry samples analyzed showed similar content values, yet differed in the concentration of that content.

Predictive modelling and accuracy

The independent and identically distributed nature of the spectra provided a solid basis for establishing a regression model to predict the concentration of soluble solids and the pH values of cherries. The determination coefficients for the prediction of sugar content and acidity were 0.976 and 0.906, respectively.

Thus, excellent results were obtained, with classification accuracy approaching 100%. A detection protocol with comprehensive operational instructions was developed by analyzing the characteristics of various data analysis methods.

Additionally, improvements were made in some stages of the hyperspectral imaging technology. For example, the researchers enhanced the projection algorithm by identifying the initial band based on sample distribution rather than randomly and proposed a comprehensive convolutional neural network modelling method.

Practical application and conclusions

Classifying ripeness levels can improve the efficiency and accuracy of cherry processing, storage, and marketing, as visual detection provides significant convenience in quality evaluation. Moreover, the VNIR spectrum-based detection protocol is more practical for real-world application compared to NIR spectra, since the hardware required to acquire hyperspectral images in the visible range is easier to prepare.

This research provides a comprehensive and practical framework for evaluating quality and classifying the ripeness of cherries.

Source: Wei, Y., Yao, S., Wu, F., & Yu, Q. (2024). Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics. International Journal of Fruit Science, 24(1), 363–379. https://doi.org/10.1080/15538362.2024.2433238 

Image source: Wei et al., 2024 

Melissa Venturi
University of Bologna (ITA)


Cherry Times - All rights reserved

What to read next

Sierra (Spain) cherry crisis: less and less quantity and insufficient labour

Production

06 Jun 2024

‘Agriculture is disappearing in Sierra,’ warns Inocencio Manuel Sánchez vice-president in charge of the Cepeda cooperative and points out that it can become problematic for a small producer or cooperative to be able to sell, for example, cherries.

Size and trends in the global cherry market

Markets

05 Mar 2025

The size of the global cherry market was estimated at USD 62.50 billion in 2023 and is expected to grow at a CAGR of 7.3% from 2024 to 2030. One of the major reasons for the market growth is the increasing health awareness among consumers.

In evidenza

Apulian cherries 2025: lower volumes, excellent quality, says Tricarico’s cherries

Production

05 May 2025

The 2025 Apulian cherry season kicks off in May with reduced yields but excellent fruit quality. Tricarico’s Cherries focuses on varietal innovation and short supply chains to meet climate change challenges and strengthen a key sector for Italian agriculture.

Evaluation of fruit quality and bioactive compounds content in southern China

Quality

05 May 2025

A new Chinese study reveals how anthocyanins determine sweet cherry color, opening new prospects to improve quality, nutrition, competitiveness in global and local markets, with potential applications in Europe, Italy, and future breeding innovations worldwide.

Tag Popolari