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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
    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
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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: Chen, Y.; Chanet, J.P.; Hou, K.M.;

    The routing protocol for low power and lossy network (RPL) was designed in the ROLL working group at IETF since the year of 2008. Until the latest version of draft 19 released, this protocol algorithms and its four application scenario, such as home automation, industrial control, urban environment and building automation, have been nearly grounded. However, it is still very difficult to find effective approaches to simulate and evaluate RPL's behavior and other extensions of its application. In this paper, first we provide a brief presentation of the RPL protocol including two case studies ContikiRPL and TinyRPL, and an initial simulation experiment results obtained from the RPL capable COOJA simulator and its developed module. Second we then focus on the utilization of this protocol in the precision agriculture area and propose our dedicated instances hybrid network architecture to meet the specific requirement of this application. As a conclusion, we summarized our ongoing work and future solutions of the current technology issues.

    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
    2012
    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
      2012
      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
    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: Dong, L.; Baghdadi, N.; Ludwig, R.;

    This work aimed to validate the Advanced Integral Equation Model (AIEM) through different correlation length parameterizations using radar imagery for field-scale studies in a semi-arid environment. The study compared backscattering coefficients simulated from the AIEM and retrieved from SAR imagery of a study site in Sardinia. Two treatments for correlation length were adopted: in situ measurements and empirically based correlation length estimation. The results showed an overestimation of backscattering coefficients of 2.5 dB with an RMSE of 3.1 dB for HH and VV polarizations and an underestimation of 27.7 dB and an RMSE of 31.0 dB for HV polarization from the AIEM parameterized by in situ measurements. When using the AIEM with empirical correlation length, a bias of less than 1.0 dB was found with an RMSE of 1.7 dB for HH and VV polarizations and an overestimation of 1.1 dB and an RMSE of 5.1 dB for HV polarization. Better results were obtained with surface soil moisture (SSM) measured at 10 cm than at 5 cm. Promising soil moisture data retrieval from SAR imagery is expected from using the empirical correlation length-parameterized AIEM for field-scale purposes in semi-arid environments.

    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
    2013
    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
      2013
      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: Paoli, J.N.;

    During the last decade, spatial knowledge management has become increasingly popular in Agriculture and the Environment. These data can be used to consider the spatial and temporal variability of a culture. Nevertheless, this involves the aggregation of all the available data in order to produce a diagnostic and to propose suitable actions. The main problems are the heterogeneity of the different data sets (numeric or symbolic, with different spatial resolutions), and the imprecision and the uncertainty associated with the data and their locations. To overcome these problems, we propose a method to translate all the data into qualitative data and to estimate all the studied variables on the suitable locations. Our method takes into account imprecision, uncertainty, conflicts, and lack of information. We implement a new approach both for the description and for the treatment of the data. The description of the information is based on fuzzy sets and possibility theory. The spatial estimation process is based on a Choquet integral. Our approach is applied on Precision Viticulture data. Our first application is the diagnostic of expert zones manually delineated by experts. Our second application is a field segmentation in order to perform distinct levels of treatment. These examples shows that our approach is valid. Nevertheless, we identify some limitations. Further work is needed to improve our aggregation operator and to consider all the particular aspects of spatial data treatment / La gestion de données spatiales a pris une importance considérable dans de nombreux domaines de l'Agriculture ou de l'Environnement. Ces informations permettent notamment d'envisager la prise en compte de la variabilité spatiale et temporelle d'une culture. Cela implique cependant de fusionner les informations disponibles de manière à effectuer un diagnostic et à proposer des actions adaptées. Les principales difficultés sont la très grande diversité des informations disponibles (numériques ou symboliques, de résolutions spatiales différentes), et les imprécisions et incertitudes associées aux données et à leur localisation. Face à cette problématique, nous proposons une méthode permettant de nous ramener systématiquement à un référentiel qualitatif, et de superposer les différentes informations disponibles au niveau spatial, tout en prenant en compte les imprécisions, les incertitudes, les conflits, et les absences éventuelles d'information. Nous mettons en ½uvre une approche nouvelle tant pour la description des informations disponibles que pour leur utilisation. Cette approche utilise la théorie des sous ensembles flous et la théorie des possibilités pour décrire les informations disponibles. La superposition des données au niveau spatial met en ½uvre un opérateur d'agrégation basé sur une intégrale de Choquet. Cette approche est appliquée à des données de Viticulture de Précision. Le premier exemple s'intéresse à la sélection de zones de requête imprécises par un utilisateur, et au diagnostic de ces zones. Le second décrit comment générer une carte identifiant les zones à traiter selon deux modalités distinctes. Ce travail conclue à la validité de l'approche proposée, et identifie certaines limites. L'opérateur d'agrégation proposé constitue une base de raisonnement, mais pourra évoluer pour prendre en compte l'ensemble des particularités liées au traitement des données spatiales

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    CemOA
    2005
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      CemOA
      2005
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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: Pinet, F.; Schneider, M.;

    People use data warehouses to help them make decisions. For example, public policy decision-makers can improve their decisions by using this technology to analyze the environmental effects of human activity. In production systems, data warehouses provide structures for extracting the knowledge required to optimize systems. Designing data warehouses is a complex task; designers need flexible and precise methods to help them create data warehouses and adapt their analysis criteria to developments in the decision-making process. In this paper, we introduce a flexible method based on UML (Unified Modeling Language). We introduce a UML profile for building multi-dimensional models and for choosing different criteria according to analysis requirements. This profile makes it possible to specify integrity constraints in OCL (Object Constraint Language). We apply our method to the construction of an environmental system for analyzing the use of certain agricultural fertilizers. We integrate various data sources into a multi-dimensional model showing several categories of analysis, and the consistency of data can be checked with OCL constraints.

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    CemOA
    2010
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      CemOA
      2010
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    Authors: Marsat, J.B.; Bonniot, A.;

    / Un programme de recherche du PSDR Auvergne, nommé MODINTOUR, en démarrage, se propose de revisiter les "modèles" qui influencent les attitudes, les actions publiques ou collectives en matière de tourisme, tels que "tourisme diffus" vs "tourisme concentré". La communication présente plusieurs entrées analytiques touchant au lien entre tourisme et destination-territoire: celles de la complémentarité (entre activités, par exemple tourisme et agriculture), de l'ancrage (au sein de la population), et de la gouvernance. Enfin un modèle analytique de fonctionnement du système touristique dans un territoire est proposé : il est issu de la transposition de la relation de service triangulaire (bénéficiaire, prestataire et bien-support) à l'échelle du territoire entier, encore étendu par la prise en compte de tous les acteurs intentionnels ou non du tourisme, tels que les "opérateurs de ressources", les "régulateurs" ou "la population". Ce modèle introduit une prise en compte élargie et stratégique des acteurs, et ouvre sur un management territorial. L'ensemble des travaux doit permettre également une réflexion sur les politiques publiques de niveau supérieur.

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    CemOA
    2009
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      CemOA
      2009
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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: Chen, Y.; Chanet, J.P.; Hou, K.M.;

    The routing protocol for low power and lossy network (RPL) was designed in the ROLL working group at IETF since the year of 2008. Until the latest version of draft 19 released, this protocol algorithms and its four application scenario, such as home automation, industrial control, urban environment and building automation, have been nearly grounded. However, it is still very difficult to find effective approaches to simulate and evaluate RPL's behavior and other extensions of its application. In this paper, first we provide a brief presentation of the RPL protocol including two case studies ContikiRPL and TinyRPL, and an initial simulation experiment results obtained from the RPL capable COOJA simulator and its developed module. Second we then focus on the utilization of this protocol in the precision agriculture area and propose our dedicated instances hybrid network architecture to meet the specific requirement of this application. As a conclusion, we summarized our ongoing work and future solutions of the current technology issues.

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    CemOA
    2012
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      CemOA
      2012
      Data sources: CemOA
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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: Dong, L.; Baghdadi, N.; Ludwig, R.;

    This work aimed to validate the Advanced Integral Equation Model (AIEM) through different correlation length parameterizations using radar imagery for field-scale studies in a semi-arid environment. The study compared backscattering coefficients simulated from the AIEM and retrieved from SAR imagery of a study site in Sardinia. Two treatments for correlation length were adopted: in situ measurements and empirically based correlation length estimation. The results showed an overestimation of backscattering coefficients of 2.5 dB with an RMSE of 3.1 dB for HH and VV polarizations and an underestimation of 27.7 dB and an RMSE of 31.0 dB for HV polarization from the AIEM parameterized by in situ measurements. When using the AIEM with empirical correlation length, a bias of less than 1.0 dB was found with an RMSE of 1.7 dB for HH and VV polarizations and an overestimation of 1.1 dB and an RMSE of 5.1 dB for HV polarization. Better results were obtained with surface soil moisture (SSM) measured at 10 cm than at 5 cm. Promising soil moisture data retrieval from SAR imagery is expected from using the empirical correlation length-parameterized AIEM for field-scale purposes in semi-arid environments.

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    CemOA
    2013
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      CemOA
      2013
      Data sources: CemOA
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    Authors: Paoli, J.N.;

    During the last decade, spatial knowledge management has become increasingly popular in Agriculture and the Environment. These data can be used to consider the spatial and temporal variability of a culture. Nevertheless, this involves the aggregation of all the available data in order to produce a diagnostic and to propose suitable actions. The main problems are the heterogeneity of the different data sets (numeric or symbolic, with different spatial resolutions), and the imprecision and the uncertainty associated with the data and their locations. To overcome these problems, we propose a method to translate all the data into qualitative data and to estimate all the studied variables on the suitable locations. Our method takes into account imprecision, uncertainty, conflicts, and lack of information. We implement a new approach both for the description and for the treatment of the data. The description of the information is based on fuzzy sets and possibility theory. The spatial estimation process is based on a Choquet integral. Our approach is applied on Precision Viticulture data. Our first application is the diagnostic of expert zones manually delineated by experts. Our second application is a field segmentation in order to perform distinct levels of treatment. These examples shows that our approach is valid. Nevertheless, we identify some limitations. Further work is needed to improve our aggregation operator and to consider all the particular aspects of spatial data treatment / La gestion de données spatiales a pris une importance considérable dans de nombreux domaines de l'Agriculture ou de l'Environnement. Ces informations permettent notamment d'envisager la prise en compte de la variabilité spatiale et temporelle d'une culture. Cela implique cependant de fusionner les informations disponibles de manière à effectuer un diagnostic et à proposer des actions adaptées. Les principales difficultés sont la très grande diversité des informations disponibles (numériques ou symboliques, de résolutions spatiales différentes), et les imprécisions et incertitudes associées aux données et à leur localisation. Face à cette problématique, nous proposons une méthode permettant de nous ramener systématiquement à un référentiel qualitatif, et de superposer les différentes informations disponibles au niveau spatial, tout en prenant en compte les imprécisions, les incertitudes, les conflits, et les absences éventuelles d'information. Nous mettons en ½uvre une approche nouvelle tant pour la description des informations disponibles que pour leur utilisation. Cette approche utilise la théorie des sous ensembles flous et la théorie des possibilités pour décrire les informations disponibles. La superposition des données au niveau spatial met en ½uvre un opérateur d'agrégation basé sur une intégrale de Choquet. Cette approche est appliquée à des données de Viticulture de Précision. Le premier exemple s'intéresse à la sélection de zones de requête imprécises par un utilisateur, et au diagnostic de ces zones. Le second décrit comment générer une carte identifiant les zones à traiter selon deux modalités distinctes. Ce travail conclue à la validité de l'approche proposée, et identifie certaines limites. L'opérateur d'agrégation proposé constitue une base de raisonnement, mais pourra évoluer pour prendre en compte l'ensemble des particularités liées au traitement des données spatiales

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    CemOA
    2005
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      CemOA
      2005
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    Authors: Pinet, F.; Schneider, M.;

    People use data warehouses to help them make decisions. For example, public policy decision-makers can improve their decisions by using this technology to analyze the environmental effects of human activity. In production systems, data warehouses provide structures for extracting the knowledge required to optimize systems. Designing data warehouses is a complex task; designers need flexible and precise methods to help them create data warehouses and adapt their analysis criteria to developments in the decision-making process. In this paper, we introduce a flexible method based on UML (Unified Modeling Language). We introduce a UML profile for building multi-dimensional models and for choosing different criteria according to analysis requirements. This profile makes it possible to specify integrity constraints in OCL (Object Constraint Language). We apply our method to the construction of an environmental system for analyzing the use of certain agricultural fertilizers. We integrate various data sources into a multi-dimensional model showing several categories of analysis, and the consistency of data can be checked with OCL constraints.

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    CemOA
    2010
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      CemOA
      2010
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    Authors: Marsat, J.B.; Bonniot, A.;

    / Un programme de recherche du PSDR Auvergne, nommé MODINTOUR, en démarrage, se propose de revisiter les "modèles" qui influencent les attitudes, les actions publiques ou collectives en matière de tourisme, tels que "tourisme diffus" vs "tourisme concentré". La communication présente plusieurs entrées analytiques touchant au lien entre tourisme et destination-territoire: celles de la complémentarité (entre activités, par exemple tourisme et agriculture), de l'ancrage (au sein de la population), et de la gouvernance. Enfin un modèle analytique de fonctionnement du système touristique dans un territoire est proposé : il est issu de la transposition de la relation de service triangulaire (bénéficiaire, prestataire et bien-support) à l'échelle du territoire entier, encore étendu par la prise en compte de tous les acteurs intentionnels ou non du tourisme, tels que les "opérateurs de ressources", les "régulateurs" ou "la population". Ce modèle introduit une prise en compte élargie et stratégique des acteurs, et ouvre sur un management territorial. L'ensemble des travaux doit permettre également une réflexion sur les politiques publiques de niveau supérieur.

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    CemOA
    2009
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      CemOA
      2009
      Data sources: CemOA