Jarén Ceballos, Carmen

Last Name

Jarén Ceballos

First Name

Carmen

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Ingeniería

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IS-FOOD. Research Institute on Innovation & Sustainable Development in Food Chain

ORCID

0000-0003-3103-7255

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88394

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347

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Now showing 1 - 10 of 13

Open Access
Hyperspectral imaging using notions from type-2 fuzzy sets
(Springer, 2019) López Maestresalas, Ainara; Miguel Turullols, Laura de; López Molina, Carlos; Arazuri Garín, Silvia; Bustince Sola, Humberto; Jarén Ceballos, Carmen; Ingeniería; Ingeniaritza; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
Fuzzy set theory has developed a prolific armamentarium of mathematical tools for each of the topics that has fallen within its scope. One of such topics is data comparison, for which a range of operators has been presented in the past. These operators can be used within the fuzzy set theory, but can also be ported to other scenarios in which data are provided in various representations. In this work, we elaborate on notions for type-2 fuzzy sets, specifically for the comparison of type-2 fuzzy membership degrees, to create function comparison operators. We further apply these operators to hyperspectral imaging, in which pixelwise data are provided as functions over a certain energy spectra. The performance of the functional comparison operators is put to the test in the context of in-laboratory hyperspectral image segmentation.
Open Access
Phytochemicals determination and classification in purple and red fleshed potato tubers by analytical methods and near infrared spectroscopy
(Wiley, 2016) Tierno, Roberto; López Maestresalas, Ainara; Riga, Patrick; Arazuri Garín, Silvia; Jarén Ceballos, Carmen; Ruiz de Galarreta, José Ignacio; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta Proiektuak
BACKGROUND: Over the last two decades, the attractive colours and shapes of pigmented tubers and the increasing concern about the relationship between nutrition and health have contributed to the expansion of their consumption and a specialty market. Thus, we have quantified the concentration of health promoting compounds such as soluble phenolics, monomeric anthocyanins, carotenoids, vitamin C, and hydrophilic antioxidant capacity, in a collection of 18 purple- and red-fleshed potato accessions. RESULTS: Cultivars and breeding lines high in vitamin C, such as Blue Congo, Morada and Kasta, have been identified. Deep purple cultivars Violet Queen, Purple Peruvian and Vitelotte showed high levels of soluble phenolics, monomeric anthocyanins, and hydrophilic antioxidant capacity, whereas relatively high carotenoid concentrations were found in partially yellow coloured tubers, such as Morada, Highland Burgundy Red, and Violet Queen. CONCLUSION: The present characterisation of cultivars and breeding lines with high concentrations of phytochemicals is an important step both to support the consideration of specialty potatoes as a source of healthy compounds, and to obtain new cultivars with positive nutritional characteristics. Moreover, by using near infrared spectroscopy a non-destructive identification and classification of samples with different levels of phytochemicals is achieved, offering an unquestionable contribution to the potato industry for future automatic discrimination of varieties.
Open Access
A review of the application of near-infrared spectroscopy for the analysis of potatoes
(American Chemical Society, 2013) López Maestresalas, Ainara; Arazuri Garín, Silvia; García Ruiz, Ignacio; Mangado Ederra, Jesús; Jarén Ceballos, Carmen; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta Proiektuak; Gobierno de Navarra / Nafarroako Gobernua
Potato (Solanum tuberosum L.) is one of the most important crops in the world being considered as a staple food in many developing countries. The potato industry like other vegetable and fruit industries is subject to the current demand of quality products. In order to meet this challenge, the food industry is relying on the adoption of nondestructive and environmentally friendly techniques to determine quality of products. Near-infrared spectroscopy (NIRS) is currently one of the most advanced nondestructive technologies regarding instrumentation and application, and it also complies with the environment requirements as it does not generate emissions or waste. This paper reviews research progress on the analysis of potatoes by NIRS both in terms of determination of constituents and classification according to the different constituents of the tubers. A brief description of the fundamentals of NIRS technology and its advantages over other quality assessment techniques is included. Finally, future prospects of the development of NIRS technology at the industrial level are explored.
Open Access
Evaluation of risk factors in fatal accidents in agriculture
(Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), 2010) Arana Navarro, Ignacio; Mangado Ederra, Jesús; Arnal Atarés, Pedro; Arazuri Garín, Silvia; Alfaro López, José Ramón; Jarén Ceballos, Carmen; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta Proiektuak
En el ámbito agrario se producen anualmente muchos accidentes mortales, no siendo todos ellos registrados oficialmente como accidentes laborales. El objetivo de esta investigación es comparar los datos reales y oficiales de accidentes agrícolas mortales y caracterizar los principales riesgos asociados a ellos. Un estudio sobre 388 accidentes mortales ocurridos en España con maquinaria agrícola en los últimos cinco años ha mostrado que sólo el 61,85% de ellos ha tenido carácter oficial. Las personas mayores fueron el sector de la población con un mayor riesgo, seguidos de los niños y las personas ajenas al sector agrario. La mayoría de las muertes registradas fueron debidas al vuelco de tractores sin estructuras de protección. De las 272 muertes causadas por accidentes con vuelco del tractor, sólo una sucedió en un tractor con estructura de protección homologada. La mayoría de los vuelcos se produjo en trayectos por carreteras o caminos, aunque las fuertes pendientes y los baches también son un factor de riesgo. Se han caracterizado once factores de riesgo y se ha comprobado que para que ocurra un accidente generalmente es necesario que confluyan, al menos, dos factores de riesgo y que la mayoría de los accidentes son causados por la concurrencia de tres o más de estos factores. Todos los accidentes son evitables porque requieren la coincidencia de más de un factor de riesgo. Si intentamos evitar todos los factores de riesgo, es posible que exista uno de estos factores, pero es muy difícil que concurran dos o más de ellos a la vez.
Open Access
Detection of minced lamb and beef fraud using NIR spectroscopy
(Elsevier, 2019) López Maestresalas, Ainara; Insausti Barrenetxea, Kizkitza; Jarén Ceballos, Carmen; Pérez Roncal, Claudia; Urrutia Vera, Olaia; Beriain Apesteguía, María José; Arazuri Garín, Silvia; Ingeniaritza; Agronomia, Bioteknologia eta Elikadura; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; Ingeniería; Agronomía, Biotecnología y Alimentación; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
The aim of this work was to investigate the feasibility of near-infrared spectroscopy (NIRS), combined with chemometric techniques, to detect fraud in minced lamb and beef mixed with other types of meats. For this, 40 samples of pure lamb and 30 samples of pure beef along with 160 samples of mixed lamb and 156 samples of mixed beef at different levels: 1-2-5-10% (w/w) were prepared and analyzed. Spectral data were pre-processed using different techniques and explored by a Principal Component Analysis (PCA) to find out differences among pure and mixed samples. Moreover, a PLS-DA was carried out for each type of meat mixture. Classification results between 78.95 and 100% were achieved for the validation sets. Better rates of classification were obtained for samples mixed with pork meat, meat of Lidia breed cattle and foal meat than for samples mixed with chicken in both lamb and beef. Additionally, the obtained results showed that this technology could be used for detection of minced beef fraud with meat of Lidia breed cattle and foal in a percentage equal or higher than 2 and 1%, respectively. Therefore, this study shows the potential of NIRS combined with PLS-DA to detect fraud in minced lamb and beef.
Open Access
Analysis of fire services coverage in Spain
(DYNA, 2018) Echeverría Iriarte, Francisco Javier; González de Audícana Amenábar, María; López Maestresalas, Ainara; Arazuri Garín, Silvia; Ciriza Labiano, Raquel; Jarén Ceballos, Carmen; Ingeniería; Ingeniaritza; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
Previous analysis of the locations of fire stations in Spain and the extent of the areas they cover revealed significant deficiencies with regard to the proportion of communities who would not receive fire service intervention within a reasonable time period. This article discusses and describes the use of Geographic Information Systems and related tools to determine the areas and population covered by existing fire services within a specific response time. This response time by road, is based on a survey of fire service interventions in other European countries. The analysis compares data from a statistical study with georeferenced ones and demonstrates that the areas and communities not covered within this response time is greater than previously believed. The article then describes an analysis an alternative solution to reinforce the current fire stations network with part-time firefighters to cover the areas not covered mainly in rural and remote locations.
Open Access
Siniestralidad agraria en España (2004 a 2013): factores de riesgo
(Blake & Helsey, 2019) Arnal Atarés, Pedro; Jarén Ceballos, Carmen; López Maestresalas, Ainara; Mangado Ederra, Jesús; Arazuri Garín, Silvia; Ingeniería; Ingeniaritza
Los datos del presente artículo son, en su mayor parte, los resultados encontrados por Pedro Arnal Atarés en el desarrollo de su tesis doctoral 'Análisis de la información sobre accidentes en el sector agrario recogida en los medios de comunicación en el decenio 2004-2013'. Esta tesis fue dirigida por Carmen Jarén Ceballos. Al objeto de conseguir el Doctorado en Prevención de Riesgos Laborales, la tesis citada se defendió el día 5 de septiembre de 2017 en la Universidad Pública de Navarra y obtuvo la calificación de Sobresaliente.
Open Access
A multi-year analysis of traffic accidents involving agricultural tractors
(AIDIC, 2017) Arnal Atarés, Pedro; López Maestresalas, Ainara; Arazuri Garín, Silvia; Mangado Ederra, Jesús; Jarén Ceballos, Carmen; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta Proiektuak
The agricultural sector in Spain is responsible for a high rate of accidents every year, and many of them are traffic accidents. Tractors are a relatively rare sight on roads, meaning that the incidence of accidents involving these vehicles is relatively low, however, an above-average number of people are seriously injured or killed as a result of such accidents. Tractors are considered responsible for the majority of the occupational accidents in agriculture. Moreover, tractor overturns stand out as the principal cause of fatal accidents mainly because those accidents involved tractors without rollover protective structures (ROPS). Despite the obligation for all tractors of having a protective structure, the incidence rate of accidents with sick leave followed a rising line in the last ten years. Thus, in this study an analysis of the data of traffic accidents involving agricultural tractors in Spain, during the 2004-2013 period, is developed in order to identify the main risk factors that influence them. Official data from the “Statistical Yearbook of Accidents” published annually were used. A total of 2892 accidents were analysed. The results obtained showed that the incidence rate of both accidents and deaths were lower in accidents involving tractors than in general ones, but the consequences were more severe. In addition, the majority of accidents producing victims happened in interurban roads involving two or more vehicles. Defects in the lighting and brake systems were identified as risk of producing an accident. In the majority of the cases, the driver was the only victim of the crash. The total number of victims showed a decreasing tendency while the fatality index remained constant. The age of driver was reported to directly influence the number of accidents, with a high proportion of drivers over 45 years old. The main offences committed by drivers were related to inadequate speed and distracted driving. As much as possible we put our findings in an international context.
Open Access
Bulk optical of potato flesh in the 500 – 1900 nm range
(Springer US, 2015) López Maestresalas, Ainara; Aernouts, Ben; Van Beers, Robbe; Arazuri Garín, Silvia; Jarén Ceballos, Carmen; Baerdemaeker, Josse de; Saeys, Wouter; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta Proiektuak; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
In this study, the optical properties of potato flesh tissue were estimated using double-integrating sphere (DIS) measurements combined with an inverse adding-doubling (IAD) light propagation model. Total reflectance, total transmittance, and unscattered transmittance were measured for the wavelength range 500– 1900 nm with 5-nm resolution. From these measurements, the bulk optical properties (absorption coefficient, scattering coefficient, and anisotropy factor) of 53 potato tubers of the Hermes cultivar were estimated. The estimated absorption coefficient spectra were dominated by water and starch absorption bands, the main chemical components of potato tissue. Comparison of these values to those reported in literature for similar products showed comparable absorption profiles. The obtained scattering coefficient spectra showed a smooth decrease from 166 to 160 cm−1 in the near-infrared (NIR) spectral range with increasing wavelength, which is common for biological tissues. The anisotropy factor spectra obtained for the full wavelength range studied ranged between 0.949 and 0.959 with a maximum variability of 0.009 among the set of samples used. The information obtained in this study is essential to understand the effects of absorption and scattering on the propagation of light through the potato tubers in order to design more efficient sensors for non-destructive quality evaluation.
Open Access
Evaluation of mechanical tomato harvesting using wireless sensors
(MDPI, 2010) Arazuri Garín, Silvia; Arana Navarro, Ignacio; Jarén Ceballos, Carmen; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta Proiektuak
The harvesting of processing tomatoes is fully mechanised and it is well known that during harvest, fruits are subjected to mechanical stress causing physical injuries, including skin punctures, pulp and cell rupture. Some wireless sensors have been used for research during recent years with the main purpose of reducing the quality loss of tomato fruits by diminishing the number and intensity of impacts. In this study the IRD (impact recorder device) sensor was used to evaluate several tomato harvesters. The specific objectives were to evaluate the impacts during mechanical harvest using a wireless sensor, to determine the critical points at which damage occurs, and to assess the damage levels. Samples were taken to determine the influence of mechanical harvest on texture, or on other quality characteristics including percentage of damages. From the obtained data it has been possible to identify the critical points where the damages were produced for each one of the five harvester models examined. The highest risk of damage was in zone 1 of the combine—from the cutting system to the colour selector—because the impacts were of higher intensity and hit less absorbing surfaces than in zone 2—from colour selector to discharge. The shaker and exit from the shaker are two of the harvester elements that registered the highest intensity impacts. By adjusting, in a specific way each harvester model, using the results from this research, it has been possible to reduce the tomato damage percentage from 20 to 29% to less than 10%.