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  1. Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy by Cortés, Victoria, Rodríguez-Ortega, Alejandro, Blasco, José, Rey, Beatriz, Besada, Cristina, Cubero, Sergio, Salvador, Alejandra, Talens, Pau, Aleixos, Nuria

    Published 2017
    “…Therefore, the food industry has a growing interest in non-destructive methods such as spectroscopy. The aim of this study was to evaluate the feasibility of visible and near-infrared (NIR) spectroscopy, in combination with multivariate analysis techniques, to predict the level and changes of astringency in intact and in the flesh of half cut persimmon fruits. …”
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    Artículo preliminar
  2. Sweet and nonsweet taste discrimination of nectarines using visible and near-infrared spectroscopy by Cortés, Victoria, Cubero, Sergio, Aleixos, Nuria, Blasco, José, Talens, Pau

    Published 2018
    “…The feasibility of using visible and near-infrared spectroscopy technology combined with multivariate analysis to discriminate cv. …”
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    Artículo
  3. Near infrared spectroscopy models to predict sensory and texture traits of sweetpotato roots by Nantongo, J.S., Serunkuma, E., Davrieux, F., Nakitto, M., Burgos, G., Thomas, Z.F., Eduardo, P., Carey, T., Swankaert, J., Mwanga, R.O.M., Alamu, E.O., Ssali, R.T.

    Published 2024
    “…High-throughput phenotyping technologies successfully employed in plant breeding and precision agriculture could facilitate the screening process for developing consumer-preferred traits. …”
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    Journal Article
  4. Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review by Cortés, Victoria, Blasco, José, Aleixos, Nuria, Cubero, Sergio, Talens, Pau

    Published 2019
    “…Recent demands, together with the advances being made in the technology and a reduction in the price of equipment, makes VIS-NIR technology an analytical alternative for continuous real-time food quality controls, which will become predominant in the next few years.…”
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    Artículo
  5. Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit by Lorente, Delia, Escandell-Montero, P., Cubero, Sergio, Gómez-Sanchís, Juan, Blasco, José

    Published 2017
    “…These results lay the foundation for the future implementation of reflectance spectroscopy technology on a commercial fruit sorter for the purpose of detecting decay in citrus fruit.…”
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    Artículo
  6. Use of low cost near‑infrared spectroscopy, to predict pasting properties of high quality cassava flour by Abubakar, M., Wasswa, P., Masumba, E., Ongom, P., Mkamilo, G., Kanju, E., Abincha, W., Edema, R., Sichalwe, K., Tukamuhabwa, P., Kayondo, S., Rabbi, I., Kulembeka, H.

    Published 2024
    “…The use of mobile near infrared spectroscopy (SCiO™) is an alternative high throughput phenotyping technology for predicting pasting properties of high quality cassava flour traits. …”
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    Journal Article

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