Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening
Lleó, L. | Roger, J.M. | Herrero-Langreo, A. | Diezma-Iglesias, B. | Barreiro, P.
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 680nm. 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.
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