Study on the relations between hyperspectral images of bananas (Musa spp.) from different countries, their compositional traits and growing conditions

Zhijun Wang, Sara Wilhelmina Erasmus, Xiaotong Liu, Saskia M. Van Ruth*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Bananas are some of the most popular fruits around the world. However, there is limited research that explores hyperspectral imaging of bananas and its relationship with the chemical composition and growing conditions. In the study, the relations that exist between the visible near-infrared hyperspectral reflectance imaging data in the 400-1000 nm range of the bananas collected from different countries, the compositional traits and local growing conditions (altitude, temperature and rainfall) and productionmanagement (organic/conventional)were explored. Themain compositional traits included moisture, starch, dietary fibre, protein, carotene content and the CIE L*a*b* colour values were also determined. The principal component analysis showed the preliminary separation of bananas from different geographical origins and production systems. The compositional and spectral data revealed positively and negatively moderate correlations (r around ±0.50, p < 0.05) between the carotene, starch content, and colour values (a*, b*) on the one hand and the wavelength ranges 405-525 nm, 615-645 nm, 885-985 nm on the other hand. Since the variation in composition and colour values were related to rainfall and temperature, the spectral information is likely also influenced by the growing conditions. The results could be useful to the industry for the improvement of banana quality and traceability.

Original languageEnglish
Article number5793
Pages (from-to)1-18
Number of pages18
JournalSensors (Switzerland)
Volume20
Issue number20
DOIs
Publication statusPublished - 13 Oct 2020

Keywords

  • Correlation analysis
  • Geographical origin
  • Organic
  • VIS-NIR hyperspectral fingerprints

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