Artificial Neural Networks for the Evaluation of Physicochemical Properties of Carrots (Daucus carota L.) Subjected to Different Cooking Conditions as an Alternative to Traditional Statistical Methods

Abstract

The study aimed to evaluate the impact of different cooking methods (sous vide, boiling, and steamed) on the physicochemical properties of carrots (Daucus carota L.). The colorimetric parameters, texture, carotenoid content, and antioxidant capacity of carrots were observed. The steam cooking method proved to be the best method to preserve the concentration of carotenoids and showed a protection of about 40%, regarding the antioxidant capacity, a property also observed in the sous vide method, independent of the time. In terms of texture, the steam cooking method rendered them a greater softness. Moreover, this study corroborates that artificial neural networks (ANNs) can be used as an effective tool for data treatments by grouping according to their similarities. The results obtained with ANN provided the same information when compared to those of the commonly used traditional multivariate statistical techniques considering that the self-organizing maps proved to be easier to visualize and analyze.

High-Throughput Phenotyping for the Evaluation of Agronomic Potential and Root Quality in Tropical Carrot Using RGB Sensors

“…The study by Abreu et al [1] presented information that makes it possible to consider artificial neural networks as an effective tool for data treatment and grouping according to their similarities, as carried out in this study. The results obtained by the authors provided the same information when compared to traditional multivariate statistical techniques, whereas the self-organized maps were easier to visualize and analyze.…”

“…The carrot (Daucus carota L.) is a vegetable of global economic importance. It represents a significant source of nutrients such as carotenoids, phenolic compounds, and vitamins, with benefits for human health [1]. Annual carrot production in the world exceeds 40 million tons and 1.1 million hectares [2].…”