Nuria Aleixos

TL;DR: The different technologies available to acquire the images and their use for the non-destructive inspection of the internal and external features of these products are explained, with details of the statistical techniques most commonly used for this task.

TL;DR: This work presents the latest developments in the application of Hyperspectral technology to the inspection of the internal and external quality of fruits and vegetables.

TL;DR: In this article, the authors report on the machine vision techniques developed at the Instituto Valenciano de Investigaciones Agrarias for the on-line estimation of the quality of oranges, peaches and apples, and evaluate the efficiency of these techniques regarding the following quality attributes: size, colour, stem location and detection of external blemishes.

TL;DR: The experiments demonstrated that the software is able to single the fruit before estimating the size, which is calculated with an error less than 2 mm, and the system is capable of correctly classifying lemons and mandarins, attending to the external defects in 93 and 94% of the cases, following the Spanish citrus standards.

TL;DR: In this paper, a fruit sorting algorithm was proposed to classify citrus fruits according to the type of defect, and the results showed that the contribution of non-visible information can improve the detection and identification of some defects.