Hyperspectral Imaging for Evaluating Impact Damage to Mango According to Changes in Quality Attributes.

Duohua Xu,Hongwei Ji,Yanan Wang,Huaiwen Wang,Hongfei Zheng,Zhe Zhang,Xiaochuan Zhang

doi:10.3390/s18113920

Duohua Xu, Hongwei Ji + Show 5 more

Open Access

https://doi.org/10.3390/s18113920

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Abstract

Evaluation of impact damage to mango (Mangifera indica Linn) as a result of dropping from three different heights, namely, 0.5, 1.0 and 1.5 m, was conducted by hyperspectral imaging (HSI). Reflectance spectra in the 900–1700 nm region were used to develop prediction models for pulp firmness (PF), total soluble solids (TSS), titratable acidity (TA) and chroma (∆b*) by a partial least squares (PLS) regression algorithm. The results showed that the changes in the mangoes’ quality attributes, which were also reflected in the spectra, had a strong relationship with dropping height. The best predictive performance measured by coefficient of determination (R2) and root mean square errors of prediction (RMSEP) values were: 0.84 and 31.6 g for PF, 0.9 and 0.49 oBrix for TSS, 0.65 and 0.1% for TA, 0.94 and 0.96 for chroma, respectively. Classification of the degree of impact damage to mango achieved an accuracy of more than 77.8% according to ripening index (RPI). The results show the potential of HSI to evaluate impact damage to mango by combining with changes in quality attributes.

Highlights

As one of the most important fruits, mango production occupies a leading position in tropical and subtropical regions in the world [1]
Impact damage to mango was evaluated by hyperspectral imaging (HSI) according to changes in quality attributes
Prediction models by partial least squares (PLS) within the spectral region of 900–1700 nm were developed for quality attributes

Summary

Introduction

As one of the most important fruits, mango production occupies a leading position in tropical and subtropical regions in the world [1]. Problems influencing mango quality have limited the consumption of this fruit, among which mechanical damage is a key factor that cannot be underestimated [2]. Due to the susceptibility to mechanical damage during harvesting, packaging and transport, a certain degree of decline in mango quality will occur. With regard to different kinds of mechanical damages, impact damage is the most severe and most likely type to occur. Numerous studies have attempted to assessed the degree of damage by detecting surface damage or by means of mechanical parameters, for example, impact energy, absorbed energy and peak force, etc. Some studies have assessed the maturity according to impact responses together with statistical analysis characterized by fruits’ firmness, moisture content and so forth [11,12,13]. The accuracy and robustness of the models used in these studies need to be improved

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