Resumen

AGUILAR-SANCHEZ, Aleida Araceli  y  VALVERDE-REYES, Andy Miguel. Use of hyperspectral images and digital images in berries: Anomalies, diseases, mechanical damage, firmness, maturity and morphometry. Manglar [online]. 2023, vol.20, n.1, pp.87-98.  Epub 01-Abr-2023. ISSN 1816-7667.  http://dx.doi.org/10.57188/manglar.2023.010.

There are different types of berries, one of the best-known, nutritious and important is the blueberry. The modern processing of these fruits guarantees high quality, better marketing of the product and an estimate of its useful life. The aim of this review was to provide scientific information on the physicochemical characteristics of different berries using hyperspectral imaging technology and digital imaging. These technologies present trends with satisfactory results in various technological and research fields. The findings obtained show that hyperspectral imaging technology and digital imaging technology have been of great interest in recent years, because they are non-destructive technologies, which allow good predictions in the detection of anomalies in berries, considering them Robust, reliable tools with high potential for use in the large industry in evaluating the quality of berries, making it possible to offer more suitable products for the consumer. With the advancement of technology, new possibilities for future studies are presented to obtain models that are faster to process and with greater statistical precision.

Palabras clave : NIR technology; hyperspectral images; neural networks; berry; non-destructive detection..

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