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  • Rural Digital Europe
  • 2014-2023
  • Research software
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  • CemOA
  • Repositori Institucional URV

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Castañeda, L; Esteve-Mon, F; Adell, J;

    En un contexto en que la transformación digital ya lleva casi una década posicionándose como prioritaria para las instituciones de Educación Superior y en el que la reciente pandemia y sus condiciones no ha hecho más que azuzar y generalizar más si cabe esta apuesta por lo digital, es tiempo de contribuir a propuestas de análisis que propongan otras lógicas de esa transformación que nos permitan entender cómo son los planes de transformación digital de nuestras universidades. Así, en este trabajo se realiza un análisis de los planes de transformación digital de las universidades públicas españolas, en el que se parte de tres elementos básicos de análisis: ¿cómo responde el plan a la misión de la universidad?, ¿qué factores de implementación considera prioritarios? y ¿a qué participantes involucra y afecta? Desde estas preguntas de investigación se propone un análisis documental que nos ofrece un panorama muy variado que pone de relieve la gran heterogeneidad de nuestras instituciones públicas, el largo camino que queda por recorrer a algunas de ellas, la unánime apuesta por una transformación claramente centrada en la gestión TIC y un horizonte de transformación con mucho margen para la mejora. Además, el análisis y el contexto que lo sitúa nos llama la atención sobre la necesidad de que estos procesos que siguen en marcha y continúan, no se conviertan en una oportunidad perdida para repensar y transformar verdaderamente nuestra visión de la visión de la universidad para el futuro.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repositori Instituci...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repositori Instituci...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Jay, S.; Hadoux, X.; Gorretta, N.; Rabatel, G.;

    Leaf nitrogen content (LNC) is one of the most important limiting key nutrients in sugar beet crops, so plant nitrogen status has to be carefully monitored throughout the plant life. In this study, close-range hyperspectral imaging was used to infer LNC from reflectance spectra in a non-destructive way and under in-field conditions. First, after acquisition, images were preprocessed in order to remove some sources of variability that were not correlated to LNC, such as specular reflection and spectral noise. For every hyperspectral image, the mean leaf spectrum was then evaluated and associated to the actual average LNC value measured on the same plants. Partial Least Square regression was used to calibrate a regression model. With six latent variables, LNC was accurately predicted with a low error and a high coefficient of determination (RMSECV = 1.72 g/kg; R² = 0.86). When applied to individual spectra of hyperspectral images, this model led to a consistent LNC map of sugar beet leaves, i.e., LNC was low in old nitrogen-deficient leaves and it was high in young wide leaves. Such a mapping is therefore a valuable non-destructive evaluation tool to better understand how LNC is distributed within plants and to identify LNC-deficient zones.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CemOA
    2014
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2014
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Oger, B.; Vismara, P.; Tisseyre, B.;

    This paper describes a new approach for yield sampling in viticulture. It combines approaches based on auxiliary information and path optimization to offer more consistent sampling strategies, integrating statistical approaches with computer methods. To achieve this, groups of potential sampling points, comparable according to their auxiliary data values are created. Then, an optimal path connecting several points, one from each group of potential sampling points and minimizing the route distance is created. This part is performed using constraint programming, a programming paradigm offering tools to deal efficiently with combinatorial problems. The paper presents the formalization of the problem, as well as the tests performed on real fields. Results show that combining target sampling and path optimization can reduce by 45% the average sampling circuit length compared to previous methods based on auxiliary data while being almost equivalent in yield prediction error.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2019
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2019
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chen, Y.;

    The wireless sensor network (WSN) is one of the most important technologies of the 21st century. Most researchers and technical analysts believe that in the near future, these micro-sensors will be integrated into the environment of our daily lives. In recent years, the IoT (Internet of Things) and WoT (Web of Things) technologies also have great forwarding. Especially, the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) protocol has allowed the use of IPv6 protocol stack in the field of WSN, thanks to its encapsulation and compression mechanisms in IPv6 packet header. Moreover, the RPL (IPv6 Routing Protocol for Low-power and Lossy Network) provides such a powerful routing function that can be applied for a variety of application scenarios. These two key standards of IoT and WoT technologies for WSN can be used in an IPv6 stack, and they will successfully achieve the connection between Internet and micro-sensors. Thus, due to the availability of IPv6 address (128-bit), all the communicating objects, such as smart device, sensor, and actuator, can be connected to the Internet. That is the greatest advantage brought by the IoT. Although the progress of these techniques is extremely fast, several issues caused by resource constraints of micro-sensor (limited processing power, bandwidth and lossy connection link, and energy), such as QoS, energy efficient, robustness and lifetime of WSN, and the most important, the special requirement of agricultural applications. Notice that Precision Agriculture is are still very challenging and waiting to be solved. Essentially, these open questions would dabble in the aspects like telemedicine, remote home automation, industrial control etc. Thus, the results obtained in this work will have a significant impact on both economic and scientific. Economically, it can offer a solution for WSN to support sustainable development in the field of agriculture automation. While scientifically, we will contribute to the routing protocol standardization of wireless micro-sensors in the domain of environmental monitoring. / (trad auto)Le réseau de capteurs sans fil (WSN) est l'une des technologies les plus importantes du 21e siècle. La plupart des chercheurs et des analystes techniques croient que dans un proche avenir, ces microcapteurs seront intégrés dans l'environnement de notre vie quotidienne. Ces dernières années, les technologies IoT (Internet des objets) et WoT (Web of Things) ont également connu une grande diffusion. En particulier, le protocole IPv6 sur les réseaux personnels sans fil de faible puissance (6LoWPAN) a permis l'utilisation de la pile de protocoles IPv6 dans le domaine du WSN, grâce à ses mécanismes d'encapsulation et de compression en en-tête de paquet IPv6. De plus, le RPL (IPv6 Routing Protocol for Low-power and Lossy Network) offre une fonction de routage si puissante qu'elle peut être appliquée à divers scénarios d'application. Ces deux normes clés des technologies IoT et WoT pour WSN peuvent être utilisées dans une pile IPv6, et elles permettront de réaliser avec succès la connexion entre Internet et les microcapteurs. Ainsi, grâce à la disponibilité de l'adresse IPv6 (128 bits), tous les objets communicants, tels que l'appareil intelligent, le capteur et l'actionneur, peuvent être connectés à Internet. C'est le plus grand avantage apporté par l'IdO. Bien que les progrès de ces techniques soient extrêmement rapides, plusieurs problèmes sont causés par les contraintes de ressources du micro-capteur (puissance de traitement limitée, bande passante et perte de liaison de connexion, et énergie), comme la QoS, l'efficacité énergétique, la robustesse et la durée de vie du WSN, et le plus important, l'exigence particulière des applications agricoles. Notez que l'agriculture de précision est encore très difficile et attend d'être résolue. Essentiellement, ces questions ouvertes s'appliqueraient à des aspects tels que la télémédecine, la domotique à distance, le contrôle industriel, etc. Ainsi, les résultats obtenus dans ce travail auront un impact significatif tant sur le plan économique que scientifique. D'un point de vue économique, il peut offrir une solution au WSN pour soutenir le développement durable dans le domaine de l'automatisation de l'agriculture. Sur le plan scientifique, nous contribuerons à la normalisation des protocoles de routage des microcapteurs sans fil dans le domaine de la surveillance environnementale.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CemOA
    2015
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2015
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Fournier, R.A.; Côté, J.-F.; Bourge, F.; Durrieu, S.; +2 Authors

    Estimating exact 3D distribution of canopy components using terrestrial lidar in forest is limited by signal occlusion. We propose a method to address this limitation: it uses voxels, beam returns and beam propagation through the scene. The proposed method was validated using simulated forest scenes and a lidar simulator.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2015
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      CemOA
      2015
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Khiali, L.; Ienco, D.; Teisseire, M.;

    Nowadays, remote sensing technologies produce huge amounts of satellite images that can be helpful to monitor geographical areas over time. A satellite image time series (SITS) usually contains spatio-temporal phenomena that are complex and difficult to understand. Conceiving new data mining tools for SITS analysis is challenging since we need to simultaneously manage the spatial and the temporal dimensions at the same time. In this work, we propose a new clustering framework specifically designed for SITS data. Our method firstly detects spatio-temporal entities, then it characterizes their evolutions by mean of a graph-based representation, and finally it produces clusters of spatio-temporal entities sharing similar temporal behaviors. Unlike previous approaches, which mainly work at pixel-level, our framework exploits a purely object-based representation to perform the clustering task. Object-based analysis involves a segmentation step where segments (objects) are extracted from an image and constitute the element of analysis. We experimentally validate our method on two real world SITS datasets by comparing it with standard techniques employed in remote sensing analysis. We also use a qualitative analysis to highlight the interpretability of the results obtained.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2018
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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      CemOA
      2018
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Figureau, A.G.; Montginoul, M.; Rinaudo, J.D.;

    This paper proposes and analyzes three policy instruments which can be used to enhance farmers' compliance with individual water allocations in a decentralized management context. Three regulation strategies are proposed for the case of groundwater allocations for irrigation: the first relies on economic instruments; the second is based on tools designed to promote pro-social behaviors; and the third combines assumptions from the first two approaches. They are evaluated through 16 scenario workshops involving 124 stakeholders and farmers in five French groundwater basins. Stakeholders' perceptions are analyzed, disentangling the ethical, economic, institutional, social and technical perspectives underlying the stakeholders' arguments for or against the proposed instruments for groundwater-use regulation. The analysis reveals a preference for the strategy that combines economic and social incentives.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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    CemOA
    2015
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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      CemOA
      2015
      Data sources: CemOA
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Berducat, M.;

    Beyond some scientific and technological challenges, this presentation will underline several other criteria to consider in order to give the key for a real market development of agricultural robots in close relationship with the operational needs and the constraints of farmer end-users.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CemOA
    2018
    Data sources: CemOA
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CemOAarrow_drop_down
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      CemOA
      2018
      Data sources: CemOA
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    Authors: Garcia Lucas, Kassio R.; Anton, Assumpcio; Ventura, Mauricio Ursi; Pereira Andrade, Edilene; +1 Authors

    The purpose of the study was to evaluate the use of and suggest possible adjustments to indicators of biodiversity loss for LCA proposed by Chaudhary and Books (2018). For this, we analyzed soybean production in Brazil. Potential damage to biodiversity has been determined for all Brazilian ecoregions: the Amazon; the Atlantic forest; Caatinga; Cerrado; Pampas; and the Pantanal. Two dimensions of assessment were considered - global and regional - in addition to Average-country. An adjustment was proposed for the vulnerability coefficient to the indicators Average-country Brazil: the Regional Species Fragility Index (FI). Two inventories were created using two different functional units: area of production of soybean by ecoregion (year m2); and area corresponding to production of 1 kg of soybean (year m2). Thus, we observed that when the indicators of aggregate values were adopted, the Atlantic Forest was the ecoregion most affected by the crop. Regarding the assessments of the Potential Biodiversity Damage (BD) Global and Regional indicators, the Atlantic Forest and the Amazon were the ecoregions that suffered the highest impacts, mainly on plants, birds and amphibians taxa. Besides, the impacts at the global level were always more expressive than the regional ones. Due to this, we noticed that the results were influenced by the Vulnerability Score (VS). The suitability of the VS for FI is relevant and the adjustment in the equation can be suggested for other regions. Considering the results found here, to prevent regional impacts, technical measures such as extensive farming and crop rotation should be prioritized as impact mitigation actions. However, political measures tend to be more effective at geographic levels when addressing more than one ecoregion, due to the s

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    Authors: Sorel, N.;

    / Ce mémoire porte sur le développement d'algorithmes de perception par vision artificielle pour le guidage d'un bras robotisé évoluant en milieu agricole, et plus précisément dans des champs de betteraves sucrières. Pour un bras robotisé, la détection de son environnement et des objets qu'il doit analyser (dans ce cas, les feuilles de betterave) est importante afin de prendre de bonnes décisions au niveau de sa commande. De nombreuses contraintes sont à prendre en compte lors de la conception de ces algorithmes, parmis lesquelles la variation de luminosité en milieu extérieur, les différences de forme des feuilles et plants de betterave, ou encore la mobilité du bras robotique. Les méthodes de vision artificielle présentées dans ce mémoire tiennent compte de ces contraintes.

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      CemOA
      2018
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Castañeda, L; Esteve-Mon, F; Adell, J;

    En un contexto en que la transformación digital ya lleva casi una década posicionándose como prioritaria para las instituciones de Educación Superior y en el que la reciente pandemia y sus condiciones no ha hecho más que azuzar y generalizar más si cabe esta apuesta por lo digital, es tiempo de contribuir a propuestas de análisis que propongan otras lógicas de esa transformación que nos permitan entender cómo son los planes de transformación digital de nuestras universidades. Así, en este trabajo se realiza un análisis de los planes de transformación digital de las universidades públicas españolas, en el que se parte de tres elementos básicos de análisis: ¿cómo responde el plan a la misión de la universidad?, ¿qué factores de implementación considera prioritarios? y ¿a qué participantes involucra y afecta? Desde estas preguntas de investigación se propone un análisis documental que nos ofrece un panorama muy variado que pone de relieve la gran heterogeneidad de nuestras instituciones públicas, el largo camino que queda por recorrer a algunas de ellas, la unánime apuesta por una transformación claramente centrada en la gestión TIC y un horizonte de transformación con mucho margen para la mejora. Además, el análisis y el contexto que lo sitúa nos llama la atención sobre la necesidad de que estos procesos que siguen en marcha y continúan, no se conviertan en una oportunidad perdida para repensar y transformar verdaderamente nuestra visión de la visión de la universidad para el futuro.

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    Authors: Jay, S.; Hadoux, X.; Gorretta, N.; Rabatel, G.;

    Leaf nitrogen content (LNC) is one of the most important limiting key nutrients in sugar beet crops, so plant nitrogen status has to be carefully monitored throughout the plant life. In this study, close-range hyperspectral imaging was used to infer LNC from reflectance spectra in a non-destructive way and under in-field conditions. First, after acquisition, images were preprocessed in order to remove some sources of variability that were not correlated to LNC, such as specular reflection and spectral noise. For every hyperspectral image, the mean leaf spectrum was then evaluated and associated to the actual average LNC value measured on the same plants. Partial Least Square regression was used to calibrate a regression model. With six latent variables, LNC was accurately predicted with a low error and a high coefficient of determination (RMSECV = 1.72 g/kg; R² = 0.86). When applied to individual spectra of hyperspectral images, this model led to a consistent LNC map of sugar beet leaves, i.e., LNC was low in old nitrogen-deficient leaves and it was high in young wide leaves. Such a mapping is therefore a valuable non-destructive evaluation tool to better understand how LNC is distributed within plants and to identify LNC-deficient zones.

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    CemOA
    2014
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      CemOA
      2014
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    Authors: Oger, B.; Vismara, P.; Tisseyre, B.;

    This paper describes a new approach for yield sampling in viticulture. It combines approaches based on auxiliary information and path optimization to offer more consistent sampling strategies, integrating statistical approaches with computer methods. To achieve this, groups of potential sampling points, comparable according to their auxiliary data values are created. Then, an optimal path connecting several points, one from each group of potential sampling points and minimizing the route distance is created. This part is performed using constraint programming, a programming paradigm offering tools to deal efficiently with combinatorial problems. The paper presents the formalization of the problem, as well as the tests performed on real fields. Results show that combining target sampling and path optimization can reduce by 45% the average sampling circuit length compared to previous methods based on auxiliary data while being almost equivalent in yield prediction error.

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    CemOA
    2019
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      CemOA
      2019
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    Authors: Chen, Y.;

    The wireless sensor network (WSN) is one of the most important technologies of the 21st century. Most researchers and technical analysts believe that in the near future, these micro-sensors will be integrated into the environment of our daily lives. In recent years, the IoT (Internet of Things) and WoT (Web of Things) technologies also have great forwarding. Especially, the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) protocol has allowed the use of IPv6 protocol stack in the field of WSN, thanks to its encapsulation and compression mechanisms in IPv6 packet header. Moreover, the RPL (IPv6 Routing Protocol for Low-power and Lossy Network) provides such a powerful routing function that can be applied for a variety of application scenarios. These two key standards of IoT and WoT technologies for WSN can be used in an IPv6 stack, and they will successfully achieve the connection between Internet and micro-sensors. Thus, due to the availability of IPv6 address (128-bit), all the communicating objects, such as smart device, sensor, and actuator, can be connected to the Internet. That is the greatest advantage brought by the IoT. Although the progress of these techniques is extremely fast, several issues caused by resource constraints of micro-sensor (limited processing power, bandwidth and lossy connection link, and energy), such as QoS, energy efficient, robustness and lifetime of WSN, and the most important, the special requirement of agricultural applications. Notice that Precision Agriculture is are still very challenging and waiting to be solved. Essentially, these open questions would dabble in the aspects like telemedicine, remote home automation, industrial control etc. Thus, the results obtained in this work will have a significant impact on both economic and scientific. Economically, it can offer a solution for WSN to support sustainable development in the field of agriculture automation. While scientifically, we will contribute to the routing protocol standardization of wireless micro-sensors in the domain of environmental monitoring. / (trad auto)Le réseau de capteurs sans fil (WSN) est l'une des technologies les plus importantes du 21e siècle. La plupart des chercheurs et des analystes techniques croient que dans un proche avenir, ces microcapteurs seront intégrés dans l'environnement de notre vie quotidienne. Ces dernières années, les technologies IoT (Internet des objets) et WoT (Web of Things) ont également connu une grande diffusion. En particulier, le protocole IPv6 sur les réseaux personnels sans fil de faible puissance (6LoWPAN) a permis l'utilisation de la pile de protocoles IPv6 dans le domaine du WSN, grâce à ses mécanismes d'encapsulation et de compression en en-tête de paquet IPv6. De plus, le RPL (IPv6 Routing Protocol for Low-power and Lossy Network) offre une fonction de routage si puissante qu'elle peut être appliquée à divers scénarios d'application. Ces deux normes clés des technologies IoT et WoT pour WSN peuvent être utilisées dans une pile IPv6, et elles permettront de réaliser avec succès la connexion entre Internet et les microcapteurs. Ainsi, grâce à la disponibilité de l'adresse IPv6 (128 bits), tous les objets communicants, tels que l'appareil intelligent, le capteur et l'actionneur, peuvent être connectés à Internet. C'est le plus grand avantage apporté par l'IdO. Bien que les progrès de ces techniques soient extrêmement rapides, plusieurs problèmes sont causés par les contraintes de ressources du micro-capteur (puissance de traitement limitée, bande passante et perte de liaison de connexion, et énergie), comme la QoS, l'efficacité énergétique, la robustesse et la durée de vie du WSN, et le plus important, l'exigence particulière des applications agricoles. Notez que l'agriculture de précision est encore très difficile et attend d'être résolue. Essentiellement, ces questions ouvertes s'appliqueraient à des aspects tels que la télémédecine, la domotique à distance, le contrôle industriel, etc. Ainsi, les résultats obtenus dans ce travail auront un impact significatif tant sur le plan économique que scientifique. D'un point de vue économique, il peut offrir une solution au WSN pour soutenir le développement durable dans le domaine de l'automatisation de l'agriculture. Sur le plan scientifique, nous contribuerons à la normalisation des protocoles de routage des microcapteurs sans fil dans le domaine de la surveillance environnementale.

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    CemOA
    2015
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      CemOA
      2015
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    Authors: Fournier, R.A.; Côté, J.-F.; Bourge, F.; Durrieu, S.; +2 Authors

    Estimating exact 3D distribution of canopy components using terrestrial lidar in forest is limited by signal occlusion. We propose a method to address this limitation: it uses voxels, beam returns and beam propagation through the scene. The proposed method was validated using simulated forest scenes and a lidar simulator.

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    CemOA
    2015
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      CemOA
      2015
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    Authors: Khiali, L.; Ienco, D.; Teisseire, M.;

    Nowadays, remote sensing technologies produce huge amounts of satellite images that can be helpful to monitor geographical areas over time. A satellite image time series (SITS) usually contains spatio-temporal phenomena that are complex and difficult to understand. Conceiving new data mining tools for SITS analysis is challenging since we need to simultaneously manage the spatial and the temporal dimensions at the same time. In this work, we propose a new clustering framework specifically designed for SITS data. Our method firstly detects spatio-temporal entities, then it characterizes their evolutions by mean of a graph-based representation, and finally it produces clusters of spatio-temporal entities sharing similar temporal behaviors. Unlike previous approaches, which mainly work at pixel-level, our framework exploits a purely object-based representation to perform the clustering task. Object-based analysis involves a segmentation step where segments (objects) are extracted from an image and constitute the element of analysis. We experimentally validate our method on two real world SITS datasets by comparing it with standard techniques employed in remote sensing analysis. We also use a qualitative analysis to highlight the interpretability of the results obtained.

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    CemOA
    2018
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      CemOA
      2018
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    Authors: Figureau, A.G.; Montginoul, M.; Rinaudo, J.D.;

    This paper proposes and analyzes three policy instruments which can be used to enhance farmers' compliance with individual water allocations in a decentralized management context. Three regulation strategies are proposed for the case of groundwater allocations for irrigation: the first relies on economic instruments; the second is based on tools designed to promote pro-social behaviors; and the third combines assumptions from the first two approaches. They are evaluated through 16 scenario workshops involving 124 stakeholders and farmers in five French groundwater basins. Stakeholders' perceptions are analyzed, disentangling the ethical, economic, institutional, social and technical perspectives underlying the stakeholders' arguments for or against the proposed instruments for groundwater-use regulation. The analysis reveals a preference for the strategy that combines economic and social incentives.

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    CemOA
    2015
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      CemOA
      2015
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    Authors: Berducat, M.;

    Beyond some scientific and technological challenges, this presentation will underline several other criteria to consider in order to give the key for a real market development of agricultural robots in close relationship with the operational needs and the constraints of farmer end-users.

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    CemOA
    2018
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      CemOA
      2018
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    Authors: Garcia Lucas, Kassio R.; Anton, Assumpcio; Ventura, Mauricio Ursi; Pereira Andrade, Edilene; +1 Authors

    The purpose of the study was to evaluate the use of and suggest possible adjustments to indicators of biodiversity loss for LCA proposed by Chaudhary and Books (2018). For this, we analyzed soybean production in Brazil. Potential damage to biodiversity has been determined for all Brazilian ecoregions: the Amazon; the Atlantic forest; Caatinga; Cerrado; Pampas; and the Pantanal. Two dimensions of assessment were considered - global and regional - in addition to Average-country. An adjustment was proposed for the vulnerability coefficient to the indicators Average-country Brazil: the Regional Species Fragility Index (FI). Two inventories were created using two different functional units: area of production of soybean by ecoregion (year m2); and area corresponding to production of 1 kg of soybean (year m2). Thus, we observed that when the indicators of aggregate values were adopted, the Atlantic Forest was the ecoregion most affected by the crop. Regarding the assessments of the Potential Biodiversity Damage (BD) Global and Regional indicators, the Atlantic Forest and the Amazon were the ecoregions that suffered the highest impacts, mainly on plants, birds and amphibians taxa. Besides, the impacts at the global level were always more expressive than the regional ones. Due to this, we noticed that the results were influenced by the Vulnerability Score (VS). The suitability of the VS for FI is relevant and the adjustment in the equation can be suggested for other regions. Considering the results found here, to prevent regional impacts, technical measures such as extensive farming and crop rotation should be prioritized as impact mitigation actions. However, political measures tend to be more effective at geographic levels when addressing more than one ecoregion, due to the s

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    Authors: Sorel, N.;

    / Ce mémoire porte sur le développement d'algorithmes de perception par vision artificielle pour le guidage d'un bras robotisé évoluant en milieu agricole, et plus précisément dans des champs de betteraves sucrières. Pour un bras robotisé, la détection de son environnement et des objets qu'il doit analyser (dans ce cas, les feuilles de betterave) est importante afin de prendre de bonnes décisions au niveau de sa commande. De nombreuses contraintes sont à prendre en compte lors de la conception de ces algorithmes, parmis lesquelles la variation de luminosité en milieu extérieur, les différences de forme des feuilles et plants de betterave, ou encore la mobilité du bras robotique. Les méthodes de vision artificielle présentées dans ce mémoire tiennent compte de ces contraintes.

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    CemOA
    2018
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      CemOA
      2018
      Data sources: CemOA