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Browsing by UPV Unit "Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària"

Now showing items 1-20 of 42

A new internal quality index for mango and its predicción by external visible and near-infrared reflection spectroscopy

Cortés López, Victoria; Ortiz Sánchez, María Coral; Aleixos Borrás, María Nuria; Blasco Ivars, José; Cubero García, Sergio; Talens Oliag, Pau (Elsevier, 2016-04-27)

[EN] A non-destructive method based on external visible and near-infrared reflection spectroscopy for determining the internal quality of intact mango cv. ‘Osteen’ was investigated. An internal quality index, well ...
Analysis of the detachment of citrus fruits by vibration using artificial vision

Torregrosa Mira, Antonio; Albert Gil, Francisco Eugenio; Aleixos Borrás, María Nuria; Ortiz Sánchez, María Coral; Blasco Ivars, José (Elsevier, 2014-03)

The vibratory behaviour of citrus fruits is studied using slow-motion cameras in order to gain a better understanding of the parameters involved in fruit detachment when mechanical harvesting is done using shakers. Single ...
Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices

Cubero-García, Sergio; Albert Gil, Francisco Eugenio; Prats-Montalbán, José Manuel; Fernandez-Pacheco, Daniel G.; Blasco Ivars, José; Aleixos Borrás, María Nuria (Elsevier, 2018)

[EN] The collection of oranges normally begins before they have reached the typical orange colour. Moreover, citrus fruits are subjected to certain degreening treatments that depend on the standard citrus colour index (CCI) ...
Application of 2D and 3D image technologies to characterize morphological attributes of grapevine clusters

Tello, Javier; Cubero, Sergio; BLASCO IVARS, JOSE; Tardaguila, Javier; Aleixos Borrás, María Nuria; Ibanez, Javier (John Wiley & Sons, 2016-10)

[EN] BACKGROUND: Grapevine cluster morphology influences the quality and commercial value of wine and table grapes. It is routinely evaluated by subjective and inaccurate methods that do not meet the requirements set by ...
Application of near infrared spectroscopy to the quality control of citrus fruits and mango

Blasco Ivars, José; Lorente Garrido, Delia; Cortes-Lopez, Victoria; Talens Oliag, Pau; Cubero-García, Sergio; Munera Picazo, Sandra Maria; Aleixos Borrás, María Nuria (SAGE Publications, 2016)
Assessment of cluster yield components by image analysis

Diago, Maria P.; Tardaguila, Javier; Aleixos Borrás, María Nuria; Millan, Borja; Prats-Montalbán, José Manuel; Cubero, Sergio; BLASCO IVARS, JOSE (John Wiley & Sons, 2015-04)

[EN] BACKGROUND: Berry weight, berry number and cluster weight are key parameters for yield estimation for wine and tablegrape industry. Current yield prediction methods are destructive, labour-demanding and time-consuming. ...
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 ...
Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

López García, Fernando; Andreu García, Gabriela; Blasco Ivars, José; Aleixos Borrás, María Nuria; Valiente González, José Miguel (Elsevier, 2010-05)

One of the main problems in the post-harvest processing of citrus is the detection of visual defects in order to classify the fruit depending on their appearance. Species and cultivars of citrus present a high rate of ...
Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images

Galdón-Navarro, Borja; Prats-Montalbán, José Manuel; Cubero-García, Sergio; Blasco Ivars, Jose; Ferrer, Alberto (John Wiley & Sons, 2018)

[EN] In polyethylene terephthalate's (PET)'s recycling processes, separation from polyvinyl chloride (PVC) is of prior relevance due to its toxicity, which degrades the final quality of recycled PET. Moreover, the potential ...
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 ...
Computer vision for automatic quality inspection of dried figs (Ficus carica L.) in real-time

Benalia, Souraya; Cubero, Sergio; Prats-Montalbán, José Manuel; Bernardi, Bruno; Zimbalatti, Giuseppe; Blasco, Jose (Elsevier, 2016)

[EN] This work reports the development of automated systems based on computer vision to improve the quality control and sorting of dried figs of Cosenza (protected denomination of origin) focusing on two research issues. ...
Design parameters for adjusting the visual field of binocular stereo cameras

Rovira Más, Francisco (Elsevier, 2010-01)

[EN] Stereoscopic cameras are becoming fundamental sensors for providing perception capabilities for automated vehicles; however, they need to be adequately setup to avoid excessive data processing and unreliable outcomes. ...
Detection of Invisible Damages in `Rojo Brillante¿ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics

Munera, Sandra; Rodríguez-Ortega, Alejandro; Aleixos Borrás, María Nuria; Cubero, Sergio; Gómez-Sanchis, Juan; Blasco, José (MDPI AG, 2021-09)

[EN] The main cause of flesh browning in 'Rojo Brillante' persimmon fruit is mechanical damage caused during harvesting and packing. Innovation and research on nondestructive techniques to detect this phenomenon in the ...
Discrimination of astringent and deastringed hard "Rojo Brillante" persimmon fruit using a sensory threshold by means of hyperspectral imaging

Munera, Sandra; Aleixos Borrás, María Nuria; Besada, Cristina; Gómez-Sanchis, Juan; Salvador, Alejandra; Cubero, Sergio; Talens Oliag, Pau; Blasco, José (Elsevier, 2019-12)

[EN] Persimmon fruit cv. 'Rojo Brillante' is an astringent cultivar due to its content of soluble tannins, which are insolubilised during the ripening of the fruit. Traditionally, the consumption of this cultivar has only ...
Distribution and effectiveness of pesticide application with a cold fogger on pepper plants cultured in a greenhouse

Olivet, Juan José; Val Manterola, Luís María José; Usera, Gabriel (Elsevier, 2011-08)

[EN] A cold fogger was evaluated for efficiency of spray-deposit distribution and for control of insect damage and fungal disease on pepper (Capsicum annuum L.) plants cultured in a greenhouse. The logger was placed at one ...
Evaluación medioambiental del río Gorgos a su paso por el área de amortiguación de impactos del Parc Natural del Montgó

Galbis Valiente, Lara (Universitat Politècnica de València, 2011-09-22)

El objetivo de este estudio es realizar un diagnostico del estado ecológico actual del río Gorgos a su paso por el área de amortiguación de impactos del Parc Natural del Montgó, de acuerdo con las exigencias establecidas ...
Forest-Genetic method to optimize parameter design of multiresponse experiment

Villa Murillo, Adriana; Carrión García, Andrés; Sozzi, Antonio (Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA), 2020-12)

[EN] We propose a methodology for the improvement of the parameter design that consists of the combination of Random Forest (RF) with Genetic Algorithms (GA) in 3 phases: normalization, modelling and optimization. The first ...
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 ...
In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties

Cortes-Lopez, Victoria; Cubero-García, Sergio; BLASCO IVARS, JOSE; Aleixos Borrás, María Nuria; Talens Oliag, Pau (Springer-Verlag, 2019)

[EN] One of the most studied techniques for the non-destructive determination of the internal quality of fruits has been visible and nearinfrared (VIS-NIR) reflectance spectroscopy. This work evaluates a new non-destructive ...