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Listar por palabra clave "Hyperspectral imaging"

Mostrando ítems 1-20 de 23

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Aplicación de la teledetección en la determinación de la concentración de los elementos nutritivos en plantas de la variedad Clementina Clemenules (Citrus clementina Hort. Ex Tan.)

Sanz Hernández, Alberto Pablo (Universitat Politècnica de València, 2024-10-10)

[ES] Los cítricos son uno de los cultivos frutales de mayor importancia económica. En el nuevo marco del uso de la agricultura de precisión como herramienta de mejora del manejo agronómico, la teledetección es una tecnología ...
Application of hyperspectral imaging combined with chemometrics for the non-destructive evaluation of the quality of fruit in postharvest

Munera Picazo, Sandra María (Universitat Politècnica de València, 2021-07-04)

[ES] El objetivo de esta tesis doctoral es evaluar la técnica de imagen hiperespectral en el rango visible e infrarrojo cercano, en combinación con técnicas quimiométricas para la evaluación de la calidad de la fruta en ...
Astringency assessment of persimmon by hyperspectral imaging

Munera Picazo, Sandra Maria; Besada Ferreiro, Cristina María; Blasco Ivars, José; Cubero-García, Sergio; Salvador, Alejandra; Talens Oliag, Pau; Aleixos Borrás, María Nuria (Elsevier, 2017)

[EN] One of the current challenges of persimmon postharvest research is the development of non-destructive methods that allow determination of the internal properties of the fruit, such as maturity, flesh firmness and ...
Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review

Cubero García, Sergio; Lee, Won Suk; Aleixos Borrás, María Nuria; Albert Gil, Francisco Eugenio; Blasco Ivars, José (Springer Verlag (Germany), 2016-10)

[EN] Computer vision systems are becoming a scientific but also a commercial tool for food quality assessment. In the field, these systems can be used to predict yield, as well as for robotic harvesting or the early detection ...
Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

Lorente, D.; Blasco Ivars, José; Serrano López, Antonio José; Soria Olivas, Emilio; Aleixos Borrás, María Nuria; Gómez Sanchís, Juan (Springer Verlag, 2013-12)

Hyperspectral imaging systems allow to detect the initial stages of decay caused by fungi in citrus fruit automatically, instead of doing it manually under dangerous ultraviolet illumination, thus preventing the fungal ...
Desarrollo de una aplicación para visualizar y analizar imágenes hiperespectrales

García Achiakhi, Luis (Universitat Politècnica de València, 2024-10-15)

[CA] Actualment els sistemes d'adquisició d'imatges hiperespectrals estàn molt demandats en diferents camps d'investigació, com són la medicina, la farmacologia, alimentació, control de qualitat, teledetecció, etc. Aquests ...
Detection of expired vacuum-packed smoked salmon based on PLS-DA method using hyperspectral images

Ivorra Martínez, Eugenio; Girón Hernández, Lunier Joel; Sánchez Salmerón, Antonio José; Verdú Amat, Samuel; Barat Baviera, José Manuel; Grau Meló, Raúl (Elsevier, 2013-08)

Consumers want fresh food with a long shelf-life, which in 2010, resulted in an important increase in packaged and processed food. This is especially important for fishery products due to their highly perishable nature. ...
Evaluation of PRISMA Products Over Snow in the Alps and Antarctica

Di Mauro, Biagio; Cogliati, Sergio; Bohn, Niklas; Traversa, G.; Garzonio, R.; Tagliabue, Giulia; Bramati, G.; Cremonese, E.; Julitta, Tommaso; Guanter-Palomar, Luis María; Kokhanovsky, A.; Giardino, Claudia; Panigada, Cinzia; Rossini, Micol; Colombo, Roberto (American Geophysical Union, 2024-07)

[EN] PRISMA is a hyperspectral satellite mission launched by the Italian Space Agency (ASI) in April 2019. The mission is designed to collect data at global scale for a variety of applications, including those related to ...
Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

Gomez-Sanchis, J.; Blasco, J.; Soria-Olivas, E.; Lorente, D.; Escandell-Montero, P.; Martinez-Martinez, J. M.; Martinez-Sober, M.; Aleixos Borrás, María Nuria (Elsevier, 2013-08)

[EN] Green mold (Penicillium digitatum) and blue mold (Penicillium italicum) are important sources of postharvest decay affecting the commercialization of mandarins. These fungi infections produce enormous economic losses ...
Impact of processing temperature on drying behavior and quality changes in organic beef

von Gersdorff, Gardis; Shrestha, Luna; Raut, Sharvari; Retz, Stefanie; Hensel, Oliver; Sturm, Barbara (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The drying of beef has gained an increasing interest and the organic market shows an increasing demand for dried beef products. In this study, organic beef meat slices were dried at 50 °C, 60 °C and 70 °C. Moisture ...
Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta

Teixeira Badaró, Amanda; Amigo, José Manuel; Blasco, Jose; Aleixos Borrás, María Nuria; Rios Ferreira, Amanda; Pedrosa Silva Clerici, Maria Teresa; Fernandes Barbin, Douglas (Elsevier, 2021-05-01)

[EN] Pasta is mostly composed by wheat flour and water. Nevertheless, flour can be partially replaced by fibers to provide extra nutrients in the diet. However, fiber can affect the technological quality of pasta if not ...
Nir Spectral Techniques and Chemometrics Applied to Food Processing

Teixeira Badaró, Amanda (Universitat Politècnica de València, 2021-12-20)

[ES] Las técnicas rápidas, no destructivas y libres de químicos tienen una demanda creciente en muchos campos de la industria. Las técnicas de espectroscopia de infrarrojo cercano (NIRS) y imágenes hiperespectrales NIR ...
Predicción de macro y micronutrientes en hojas de cítricos y caqui utilizando métodos ópticos no destructivos

Acosta Tello, Maylin Oristela (Universitat Politècnica de València, 2024-07-22)

[ES] El conocimiento del estado nutricional de los cultivos permite corregir o ajustar cualquier exceso o deficiencia nutricional en los mismos, a lo largo de su ciclo vegetativo, asegurando un alto rendimiento en la ...
Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis

Ivorra Martínez, Eugenio; Verdú Amat, Samuel; Sánchez Salmerón, Antonio José; Grau Meló, Raúl; Barat Baviera, José Manuel (MDPI AG, 2016)

[EN] A technique that combines the spatial resolution of a 3D structured-light (SL) imaging system with the spectral analysis of a hyperspectral short-wave near infrared system was developed for freshness predictions of ...
Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning and Hyperspectral Imaging

Gomes, Veronique; Reis, Marco S.; Rovira Más, Francisco; Mendes-Ferreira, Ana; Melo-Pinto, Pedro (MDPI AG, 2021-07)

[EN] The high quality of Port wine is the result of a sequence of winemaking operations, such as harvesting, maceration, fermentation, extraction and aging. These stages require proper monitoring and control, in order to ...
Prediction of water and protein contents and quality classification of Spanish cooked ham using NIR hyperspectral imaging

Talens Oliag, Pau; Mora, Leticia; Morsy, Noha; Barbin, Douglas F.; ElMasry, Gamal; Sun, Da-Wen (Elsevier, 2013)

[EN] This study was carried out to investigate the ability of hyperspectral imaging technique in the NIR spectral region of 900 1700 nm for the prediction of water and protein contents in Spanish cooked hams. Multivariate ...
Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment

Lorente, D.; Aleixos Borrás, María Nuria; Gómez Sanchís, Juan; Cubero, S.; García Navarrete, Óscar Leonardo; Blasco Ivars, José (Springer Verlag, 2011-05)

[EN] Hyperspectral imaging systems are starting to be used as a scientific tool for food quality assessment. A typical hyperspectral image is composed of a set of a relatively wide range of monochromatic images corresponding ...
Redes neuronales convolucionales con imágenes hiperespectrales para control de calidad

Calandín Vega, Andrés (Universitat Politècnica de València, 2022-09-06)

[ES] En los últimos años se ha consolidado una tendencia hacia la digitalización y la semiautomatización, o la automatización. Este hecho ha ocasionado la implementación de múltiples técnicas de aprendizaje ...
Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

Lorente, Delia; Aleixos Borrás, María Nuria; Gómez Sanchís, Juan; Cubero, Sergio; Blasco Ivars, José (Springer Verlag, 2013-02)

Early automatic detection of fungal infections in post-harvest citrus fruits is especially important for the citrus industry because only a few infected fruits can spread the infection to a whole batch during operations ...
Shelf life prediction of expired vacuum-packed chilled smoked salmon based on a KNN tissue segmentation method using hyperspectral images

Ivorra Martínez, Eugenio; Sánchez Salmerón, Antonio José; Verdú Amat, Samuel; Barat Baviera, José Manuel; Grau Meló, Raúl (Elsevier, 2016-06)

Ready-to-eat foods that does not receive a heat treatment before being consumed can be at risk of foodborne hazards and spoilage, so it would be of great interest to have a method for monitoring their safety. This work ...