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  • Rural Digital Europe
  • 2014-2023
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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: 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: 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
    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
      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
  • 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
    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: Jay, S.; Gorretta, N.; Morel, J.; Maupas, F.; +5 Authors

    Accurate estimation of leaf chlorophyll content (Cab) from remote sensing is of tremendous significance to monitor the physiological status of vegetation or to estimate primary production. Many vegetation indices (VIs) have been developed to retrieve Cab at the canopy level from meter- to decameter-scale reflectance observations. However, most of these VIs may be affected by the possible confounding influence of canopy structure. The objective of this study is to develop methods for Cab estimation using millimeter to centimeter spatial resolution reflectance imagery acquired at the field level. Hyperspectral images were acquired over sugar beet canopies from a ground-based platform in the 400-1000 nm range, concurrently to Cab, green fraction (GF), green area index (GAI) ground measurements. The original image spatial resolution was successively degraded from 1 mm to 35 cm, resulting in eleven sets of hyperspectral images. Vegetation and soil pixels were discriminated, and for each spatial resolution, measured Cab values were related to various VIs computed over four sets of reflectance spectra extracted from the images (soil and vegetation pixels, only vegetation pixels, 50% darkest and brightest vegetation pixels). The selected VIs included some classical VIs from the literature as well as optimal combinations of spectral bands, including simple ratio (SR), modified normalized difference (mND) and structure insensitive pigment index (SIPI). In the case of mND and SIPI, the use of a blue reference band instead of the classical near-infrared one was also investigated. For the eleven spatial resolutions, the four pixel selections and the five VI formats, similar band combinations are obtained when optimizing VI performances: the main bands of interest are generally located in the blue, red, red edge and near-infrared domains. Overall,mNDblue[728,850] defined as (R440

    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
    2017
    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
      2017
      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: 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.

    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
      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
  • 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: Morardet, S.; Loubier, S.; Fusillier, J.L.; Ruelle, P.; +2 Authors

    This report presents a method for assessing economic impacts of available water resources for irrigation at farm, food processing sector and territory levels. It is mainly based on the example of the study commissioned by the Direction Régionale de l'Agriculture, de l'Alimentation et de la Forêt de la région Rhône Alpes in Drôme des collines , while comparing it with similar studies conducted in other regions in France. / Ce rapport présente une méthode d'évaluation des impacts économiques de la réduction des volumes disponibles pour l'irrigation à l'échelle des exploitations agricoles, des filières et du territoire irrigué. Il s'appuie notamment sur l'exemple de l'étude réalisée en Drôme des collines à la demande de la Direction Régionale de l'Agriculture, de l'Alimentation et de la Forêt de la région Rhône Alpes, en le mettant en perspective avec des études similaires menées dans d'autres régions.

    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: Roussey, C.; Bernard, S.;

    / SKOS est un schéma RDF utilisé pour stocker et publier sur le web de données liées des thésaurus ou des taxonomies. Lors du développement d'un thésaurus, il est utile de détecter automatiquement les concepts qui violent les contraintes d'intégrité. Cet article présente le cas d'usage d'un développement manuel d'un thésaurus monolingue. Ce thésaurus porte sur l'usage des cultures en France. Dans cet article, nous avons spécifié diverses contraintes d'intégrité. Pour vérifier ces contraintes un ensemble de requêtes SPARQL a été défini. Ces requêtes permettent à la fois de vérifier des contraintes d'intégrité propres à tous les thésaurus stockés au format SKOS, mais aussi des contraintes propres à notre thésaurus.

    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
    2017
    Data sources: CemOA
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      CemOA
      2017
      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: 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: Alavoine-Mornas, F.;

    In the Provence Alpes Côte d'Azur region (France), some forest lands are converted to agricultural use, in particular in the wine-growing sector. In this region agricultural lands have to cope with urbanization and agricultural land abandonment. But this trend raises the question of natural and forest lands preservation. The issue is also to understand the conditions of these changes in land use. We carried out an exploratory study in order to quantify this evolution and provide information on the agriculture and forest stakes. This work was based on a bibliographic study and some interviews among local stakeholders. We also conducted a more precise study in the Var department using the CRIGE-PACA database to quantify the changes in land use regarding vineyards and forests (conversion of forest land to vineyards and vice-versa) between 2006 and 2014. We showed that the surfaces of forest lands to vineyards was very small. The requests for authorization to clear forest land often concerned plots which were formerly cultivated. However the context could accelerate this process, especially due to outside investors entering the wine-growing sector as well as the surface growth of som AOC/AOP, and the strong willingness of agricultural organizations to develop the wine-growing sector and more widely the agricultural sector. A more comprehensive study will be needed using spatial data to locate the impacted territories and assess the possible effects on forests. / En région Provence-Alpes-Côte d'Azur (France), des terres sont récupérées sur des espaces forestiers par des agriculteurs, particulièrement dans le secteur viticole. Dans une région où les espaces agricoles peinent à se maintenir face au développement urbain et à la déprise, cette tendance pose cependant la question de la préservation des espaces naturels et forestiers et des conditions dans lesquelles s'effectuent ces changements d'occupation du sol (lieu, superficie et types de forêts concernées, projets de valorisation de ces espaces...). Nous avons réalisé une étude exploratoire visant à quantifier cette évolution et à en préciser les enjeux pour l'agriculture et pour les espaces forestiers. Ce travail a été conduit à partir de la bibliographie existante et d'entretiens avec quelques acteurs du territoire. Un travail plus précis a été réalisé sur le département du Var, pour lequel nous avons utilisé des bases de données du CRIGE-PACA pour quantifier les transformations d'occupation du sol concernant la viticulture et la forêt (transformation de forêts en vignobles, et vice versa) entre 2006 et 2014. Les analyses montrent que les superficies de forêts converties en vignobles aux dépens d'espaces forestiers ont été très limitées au cours de la période étudiée. Les demandes de défrichement concernent souvent des parcelles anciennement cultivées. Cependant certains éléments de contexte pourraient conduire à une accélération de cette tendance, notamment l'entrée d'investisseurs extérieurs au secteur viticole apportant des capitaux importants et souhaitant les valoriser, l'extension des aires d'appellations de certaines AOC/AOP, et la volonté affirmée des organisations professionnelles agricoles de développer le secteur viticole provençal et plus largement l'agriculture. Le travail réalisé devra être poursuivi par des études spatialisées permettant de localiser les territoires impactés (ou pouvant être impactés) par cette tendance et d'évaluer les effets possibles sur les forêts concernées.

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    CemOA
    2019
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      CemOA
      2019
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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: 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
      Data sources: CemOA
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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
      Data sources: CemOA
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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.

    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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      CemOA
      2015
      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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      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
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    Authors: Jay, S.; Gorretta, N.; Morel, J.; Maupas, F.; +5 Authors

    Accurate estimation of leaf chlorophyll content (Cab) from remote sensing is of tremendous significance to monitor the physiological status of vegetation or to estimate primary production. Many vegetation indices (VIs) have been developed to retrieve Cab at the canopy level from meter- to decameter-scale reflectance observations. However, most of these VIs may be affected by the possible confounding influence of canopy structure. The objective of this study is to develop methods for Cab estimation using millimeter to centimeter spatial resolution reflectance imagery acquired at the field level. Hyperspectral images were acquired over sugar beet canopies from a ground-based platform in the 400-1000 nm range, concurrently to Cab, green fraction (GF), green area index (GAI) ground measurements. The original image spatial resolution was successively degraded from 1 mm to 35 cm, resulting in eleven sets of hyperspectral images. Vegetation and soil pixels were discriminated, and for each spatial resolution, measured Cab values were related to various VIs computed over four sets of reflectance spectra extracted from the images (soil and vegetation pixels, only vegetation pixels, 50% darkest and brightest vegetation pixels). The selected VIs included some classical VIs from the literature as well as optimal combinations of spectral bands, including simple ratio (SR), modified normalized difference (mND) and structure insensitive pigment index (SIPI). In the case of mND and SIPI, the use of a blue reference band instead of the classical near-infrared one was also investigated. For the eleven spatial resolutions, the four pixel selections and the five VI formats, similar band combinations are obtained when optimizing VI performances: the main bands of interest are generally located in the blue, red, red edge and near-infrared domains. Overall,mNDblue[728,850] defined as (R440

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    CemOA
    2017
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      CemOA
      2017
      Data sources: CemOA
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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
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    Authors: Morardet, S.; Loubier, S.; Fusillier, J.L.; Ruelle, P.; +2 Authors

    This report presents a method for assessing economic impacts of available water resources for irrigation at farm, food processing sector and territory levels. It is mainly based on the example of the study commissioned by the Direction Régionale de l'Agriculture, de l'Alimentation et de la Forêt de la région Rhône Alpes in Drôme des collines , while comparing it with similar studies conducted in other regions in France. / Ce rapport présente une méthode d'évaluation des impacts économiques de la réduction des volumes disponibles pour l'irrigation à l'échelle des exploitations agricoles, des filières et du territoire irrigué. Il s'appuie notamment sur l'exemple de l'étude réalisée en Drôme des collines à la demande de la Direction Régionale de l'Agriculture, de l'Alimentation et de la Forêt de la région Rhône Alpes, en le mettant en perspective avec des études similaires menées dans d'autres régions.

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    CemOA
    2014
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      CemOA
      2014
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    Authors: Roussey, C.; Bernard, S.;

    / SKOS est un schéma RDF utilisé pour stocker et publier sur le web de données liées des thésaurus ou des taxonomies. Lors du développement d'un thésaurus, il est utile de détecter automatiquement les concepts qui violent les contraintes d'intégrité. Cet article présente le cas d'usage d'un développement manuel d'un thésaurus monolingue. Ce thésaurus porte sur l'usage des cultures en France. Dans cet article, nous avons spécifié diverses contraintes d'intégrité. Pour vérifier ces contraintes un ensemble de requêtes SPARQL a été défini. Ces requêtes permettent à la fois de vérifier des contraintes d'intégrité propres à tous les thésaurus stockés au format SKOS, mais aussi des contraintes propres à notre thésaurus.

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    CemOA
    2017
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      CemOA
      2017
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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: Alavoine-Mornas, F.;

    In the Provence Alpes Côte d'Azur region (France), some forest lands are converted to agricultural use, in particular in the wine-growing sector. In this region agricultural lands have to cope with urbanization and agricultural land abandonment. But this trend raises the question of natural and forest lands preservation. The issue is also to understand the conditions of these changes in land use. We carried out an exploratory study in order to quantify this evolution and provide information on the agriculture and forest stakes. This work was based on a bibliographic study and some interviews among local stakeholders. We also conducted a more precise study in the Var department using the CRIGE-PACA database to quantify the changes in land use regarding vineyards and forests (conversion of forest land to vineyards and vice-versa) between 2006 and 2014. We showed that the surfaces of forest lands to vineyards was very small. The requests for authorization to clear forest land often concerned plots which were formerly cultivated. However the context could accelerate this process, especially due to outside investors entering the wine-growing sector as well as the surface growth of som AOC/AOP, and the strong willingness of agricultural organizations to develop the wine-growing sector and more widely the agricultural sector. A more comprehensive study will be needed using spatial data to locate the impacted territories and assess the possible effects on forests. / En région Provence-Alpes-Côte d'Azur (France), des terres sont récupérées sur des espaces forestiers par des agriculteurs, particulièrement dans le secteur viticole. Dans une région où les espaces agricoles peinent à se maintenir face au développement urbain et à la déprise, cette tendance pose cependant la question de la préservation des espaces naturels et forestiers et des conditions dans lesquelles s'effectuent ces changements d'occupation du sol (lieu, superficie et types de forêts concernées, projets de valorisation de ces espaces...). Nous avons réalisé une étude exploratoire visant à quantifier cette évolution et à en préciser les enjeux pour l'agriculture et pour les espaces forestiers. Ce travail a été conduit à partir de la bibliographie existante et d'entretiens avec quelques acteurs du territoire. Un travail plus précis a été réalisé sur le département du Var, pour lequel nous avons utilisé des bases de données du CRIGE-PACA pour quantifier les transformations d'occupation du sol concernant la viticulture et la forêt (transformation de forêts en vignobles, et vice versa) entre 2006 et 2014. Les analyses montrent que les superficies de forêts converties en vignobles aux dépens d'espaces forestiers ont été très limitées au cours de la période étudiée. Les demandes de défrichement concernent souvent des parcelles anciennement cultivées. Cependant certains éléments de contexte pourraient conduire à une accélération de cette tendance, notamment l'entrée d'investisseurs extérieurs au secteur viticole apportant des capitaux importants et souhaitant les valoriser, l'extension des aires d'appellations de certaines AOC/AOP, et la volonté affirmée des organisations professionnelles agricoles de développer le secteur viticole provençal et plus largement l'agriculture. Le travail réalisé devra être poursuivi par des études spatialisées permettant de localiser les territoires impactés (ou pouvant être impactés) par cette tendance et d'évaluer les effets possibles sur les forêts concernées.

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    CemOA
    2019
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      CemOA
      2019
      Data sources: CemOA