A systematized review on the applications of hyperspectral imaging for quality control of potatoes

Date

2024

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109790RR-C22/ES/ recolecta
Impacto
No disponible en Scopus

Abstract

The application of hyperspectral imaging (HSI) has gained signifcant importance in the past decade, particulary in the context of food analysis, including potatoes. However, the current literature lacks a comprehensive systematic review of the application of this technique in potato cultivation. Therefore, the aim of this work was to conduct a systematized review by analysing the most relevant compounds, diseases and stress factors in potatoes using hyperspectral imaging. For this purpose, scientifc studies were retrieved through a systematic keyword search in Web of Science and Scopus databases. Studies were only included in the review if they provided at least one set of quantitative data. As a result, a total of 52 unique studies were included in the review. Eligible studies were assigned an in-house developed quality scale identifying them as high, medium or low risk. In most cases the studies were rated as low risk. Finally, a comprehensive overview of the HSI applications in potatoes was performed. It has been observed that most of the selected studies obtained better results using linear methods. In addition, a meta-analysis of studies based on regression and classifcation was attempted but was not possible as not enough studies were found for a specifc variable.

Description

Keywords

Food quality control, Hyperspectral imaging, Machine learning, Nondestructive techniques, Potatoes, Solanum tuberosum L., Systematized review

Department

Ingeniería / Ingeniaritza / Institute on Innovation and Sustainable Development in Food Chain - ISFOOD

Faculty/School

Degree

Doctorate program

item.page.cita

Peraza-Alemán, C. M., López-Maestresalas, A., Jarén, C., Rubio-Padilla, N., Arazuri, S. (2024) A systematized review on the applications of hyperspectral imaging for quality control of potatoes. Potato Research, 1-23. https://doi.org/10.1007/s11540-024-09702-7.

item.page.rights

Creative Commons BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivs 4.0 International

Licencia

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