Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening

By L. Lleó, Jean-Michel Roger, A. Herrero‐Langreo, B. Diezma-Iglesias, Pilar Barreiro. 2011

70 citations recorded by the source corpus.

Abstract The present research is focused on the application of artificial vision to assess the ripening of red skinned soft-flesh peach (‘Richlady’). Artificial vision allows a spatially detailed determination of the ripening stage of the fruit. The considered optical indexes (Ind1 and Ind2, proposed in the present research, and Ind3 and IAD, proposed by other authors) are based on the combination of wavelengths close to the chlorophyll absorption peak at 680 nm. Ind1 corresponds approximately to the depth of the absorption peak, and Ind2 corresponds to the relative absorption peak. An artificial image of each index was obtained by computing the corresponding reflectance images, which were acquired with a hyperspectral camera. All indexes were able to correct convexity (except for the just-harvested peaches and for Ind1). Ind2 is the preferred index; it showed the highest discriminating power between ripening stages and no influence of convexity. Ind2 also allowed the differentiation of ripening regions within the fruits, and it showed the evolution of those regions during ripening.

Subfields: Analytical Chemistry, Food Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/5400021046cf0da13149e1d90e43bac9458ed5fe

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In Analytical Chemistry

In Plant Science

Citations in the corpus

Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging (2017, unknown): “An absorption peak 214 was found around the bands 670-680 nm only for fruits in M1 stage which could be due 215 the presence of chlorophyll in the more unripe fruit (Lleó et al., 2011).”
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, background): “Some of these indexes were studied by Lleó et al. (2011) to determine the ones that best fit the ripeness prediction of Richlady peaches, with two new indexes being proposed.”
Ripeness Classification of Astringent Persimmon Using Hyperspectral Imaging Technique (2014, unknown): “Detection of the ripening process also has got some attentions; the assessment of fruits ripening such as peach and banana have been investigated based on hyperspectral imaging technique (Cen et al., 2011; Lleo et al., 2011; Rajkumar et al., 2012), which showed a potential use of hyperspectral imagi”