Peraza Alemán, Carlos MiguelLópez Maestresalas, AinaraJarén Ceballos, CarmenRubio Padilla, NiutonArazuri Garín, Silvia2024-02-232024-02-232024Peraza-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/s11540-024-09702-7.0014-306510.1007/s11540-024-09702-7https://academica-e.unavarra.es/handle/2454/47557The 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.application/pdfengCreative Commons BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivs 4.0 InternationalFood quality controlHyperspectral imagingMachine learningNondestructive techniquesPotatoesSolanum tuberosum L.Systematized reviewinfo:eu-repo/semantics/article2024-02-23info:eu-repo/semantics/openAccess