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Titre : Artificial neural networks in agriculture Type de document : Monographie Auteurs : Sebastian Kujawa, Éditeur scientifique ; Gniewko Niedbała, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 283 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-1579-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] apprentissage profond
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] classification par réseau neuronal récurrent
[Termes IGN] couvert végétal
[Termes IGN] déformation temporelle dynamique (algorithme)
[Termes IGN] détection d'arbres
[Termes IGN] Google Earth
[Termes IGN] image à haute résolution
[Termes IGN] phénologie
[Termes IGN] réseau neuronal artificiel
[Termes IGN] surveillance agricoleRésumé : (éditeur) Modern agriculture needs to have high production efficiency combined with a high quality of obtained products. This applies to both crop and livestock production. To meet these requirements, advanced methods of data analysis are more and more frequently used, including those derived from artificial intelligence methods. Artificial neural networks (ANNs) are one of the most popular tools of this kind. They are widely used in solving various classification and prediction tasks, for some time also in the broadly defined field of agriculture. They can form part of precision farming and decision support systems. Artificial neural networks can replace the classical methods of modelling many issues, and are one of the main alternatives to classical mathematical models. The spectrum of applications of artificial neural networks is very wide. For a long time now, researchers from all over the world have been using these tools to support agricultural production, making it more efficient and providing the highest-quality products possible. Note de contenu : 1- Plant and weed identifier robot as an agroecological tool using artificial neural networks for image identification
2- Oil palm tree detection and health classification on high-resolution imagery using deep learning
3- Average degree of coverage and coverage unevenness coefficient as parameters for spraying quality assessment
4- The relationship between soil electrical parameters and compaction of Sandy Clay Loam soil
5- Evaluation of convolutional neural networks’ hyperparameters with transfer learning to determine sorting of Ripe Medjool dates
6- Mapping paddy rice using weakly supervised long short-term memory network with time series sentinel optical and SAR images
7- Time series prediction with artificial neural networks: An analysis using Brazilian soybean production
8- Machine learning for plant breeding and biotechnology
9- A hybrid CFS filter and RF-RFE wrapper-based feature extraction for enhanced agricultural crop yield prediction modeling
10- Crop growth stage GPP-driven spectral model for evaluation of cultivated land quality using GA-BPNN
11- Corn grain yield estimation from vegetation indices, canopy cover, plant density, and a neural network using multispectral and RGB images acquired with unmanned aerial vehicles
12- Modeling the dynamic response of plant growth to root zone temperature in hydroponic Chili pepper plant using neural networks
13- ANN-based continual classification in agriculture
14- Application of artificial neural networks to analyze the concentration of ferulic acid, deoxynivalenol, and nivalenol in winter wheat grain
15- Neural visual detection of grain weevil (sitophilus granarius L.)Numéro de notice : 28624 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-1579-3 En ligne : https://doi.org/10.3390/books978-3-0365-1579-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99553 Florence: A web-based grammar of graphics for making maps and learning cartography / Ate Poorthuis in Cartographic perspectives, n° 96 (December 2020)
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Titre : Florence: A web-based grammar of graphics for making maps and learning cartography Type de document : Article/Communication Auteurs : Ate Poorthuis, Auteur ; Lucas van der Zee, Auteur ; Grace Guo, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 32 - 50 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cartographie par internet
[Termes IGN] conception cartographique
[Termes IGN] formation
[Termes IGN] géovisualisation
[Termes IGN] implémentation (informatique)
[Termes IGN] représentation cartographique
[Termes IGN] sémiologie graphique
[Termes IGN] visualisation cartographique
[Termes IGN] visualisation de données
[Termes IGN] web mapping
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Online, web-based cartography workflows use a dizzying variety of software suites, libraries, and programming languages. This proliferation of mapmaking technologies, often developed from a software engineering rather than a cartographic foundation, creates a series of challenges for cartography education, research, and practice. To address these challenges, we introduce a JavaScript-based open-source framework for web-based cartography and data visualization. It is built on top of existing open web standards that are already in intensive use for online mapmaking today, but provides a framework that is firmly based on cartographic and visualization theory rather than software engineering concepts. Specifically, we adopt concepts from Bertin’s Semiology of Graphics and Wilkinson’s Grammar of Graphics to create a language with a limited number of core concepts and verbs that are combined in a declarative style of “writing” visualizations. In this paper, we posit a series of design guidelines that have informed our approach, and discuss how we translate these tenets into a software implementation and framework with specific use cases and examples. We frame the development of the software and the discussion specifically in the context of the use of such tools in cartography education. With this framework, we hope to provide an example of a software for web-based data visualization that is in sync with cartographic theories and objectives. Such approaches allow for potentially greater cartographic flexibility and creativity, as well as easier adoption in cartography courses. Numéro de notice : A2021-123 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14714/CP96.1645 Date de publication en ligne : 02/12/2020 En ligne : https://doi.org/10.14714/CP96.1645 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99306
in Cartographic perspectives > n° 96 (December 2020) . - pp 32 - 50[article]Infrastructure of the spatial information in the European Community (INSPIRE) based on examples of Italy and Poland / Marek Ogryzek in ISPRS International journal of geo-information, vol 9 n° 12 (December 2020)
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Titre : Infrastructure of the spatial information in the European Community (INSPIRE) based on examples of Italy and Poland Type de document : Article/Communication Auteurs : Marek Ogryzek, Auteur ; Eufemia Tarantino, Auteur ; Krzysztof Rząsa, Auteur Année de publication : 2020 Article en page(s) : n° 755 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] directive européenne
[Termes IGN] géoportail
[Termes IGN] INSPIRE
[Termes IGN] Italie
[Termes IGN] norme ISO
[Termes IGN] Pologne
[Termes IGN] WebSIGRésumé : (auteur) Binding and planned community regulations regarding INSPIRE and other documents resulting from work on INSPIRE have forced the member countries to implement new or updated regulations. The purpose of creating the spatial information infrastructure was to unify the exchange of geographical data at the national and international levels, create transparent and favorable conditions for the use of geographical data, facilitate decision-making and develop business activity, and, as a consequence, facilitate the creation of the INSPIRE geoportal by the European Research Center (JRC) of the European Commission, which aims be the central hub of the European spatial information infrastructure. Land management systems use layers from geoportals and are also a data source because their task is to develop sustainable space development. The article presents the rules for implementing EU directives in Poland and Italy at various levels of detail and examines access to data and spatial information infrastructure. A comparative analysis of geoportals was performed in terms of the functionality and availability of free data (types of data) at national and local levels in terms of verification of compliance with the Ubiquitous Public Access Context Information Model (UPA) defined by the International Organization for Standardization (ISO) 19100. National geoportals (Polish Geoportal 2 and the Italian-Geoportale Nazionale) and Municipal Spatial Information Systems from the cities of Olsztyn and Bari were compared. Numéro de notice : A2021-809 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9120755 Date de publication en ligne : 16/12/2020 En ligne : https://doi.org/10.3390/ijgi9120755 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96954
in ISPRS International journal of geo-information > vol 9 n° 12 (December 2020) . - n° 755[article]Towards a new generation of digital cartography: The development of neocartography and the geoweb / Marina Tavra in Cartographica, vol 55 n° 4 (Winter 2020)
[article]
Titre : Towards a new generation of digital cartography: The development of neocartography and the geoweb Type de document : Article/Communication Auteurs : Marina Tavra, Auteur ; Anja Škara, Auteur Année de publication : 2020 Article en page(s) : pp 241 - 250 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] carte interactive
[Termes IGN] cartographie numérique
[Termes IGN] cartographie par internet
[Termes IGN] évolution technologique
[Termes IGN] géoportail
[Termes IGN] indexation sémantique
[Termes IGN] segmentation sémantique
[Termes IGN] web mapping
[Termes IGN] WebSIGRésumé : (Auteur) The Third Industrial Revolution evolved through the development of technology in the 1960s and has been mirrored in other professions as well as cartography. The first maps on the Internet for mass use appeared in the late 1990s. In the beginning, they were simple and modest. Computer development was also reflected in the development of digital cartography, and maps become interactive with users. Technology has made collecting spatial data easier and cheaper, and cartography has become available to ordinary users through various tools and services. Accordingly, emerging concepts and terms related to digital cartography are sometimes identical or match part of their domain of meaning. This article offers a review and analysis of keywords pertaining to digital cartography on the Internet. Different indicators are used to show trends in selected keywords’ appearance and, thus, trends in cartography. Numéro de notice : A2020-774 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2019-0028 Date de publication en ligne : 22/12/2020 En ligne : https://doi.org/10.3138/cart-2019-0028 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96687
in Cartographica > vol 55 n° 4 (Winter 2020) . - pp 241 - 250[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2020041 SL Revue Centre de documentation Revues en salle Disponible The influence of web maps and education on adolescents’ global-scale cognitive map / Lieselot Lapon in Cartographic journal (the), Vol 57 n° 3 (August 2020)
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Titre : The influence of web maps and education on adolescents’ global-scale cognitive map Type de document : Article/Communication Auteurs : Lieselot Lapon, Auteur ; Philippe De Maeyer, Auteur ; Bart De Wit, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 221 - 234 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] acquisition de connaissances
[Termes IGN] carte cognitive
[Termes IGN] cartographie par internet
[Termes IGN] déformation de projection
[Termes IGN] formation
[Termes IGN] lecture de carte
[Termes IGN] projection
[Termes IGN] projection de Robinson
[Termes IGN] projection Universal Transverse Mercator
[Termes IGN] web mapping
[Vedettes matières IGN] CartologieRésumé : (auteur) Several factors influence the global-scale cognitive map. The use of school books, atlases and web maps all play an essential role in the development of geographical knowledge of adolescents. This research examines the impact of the educational system versus web maps on the adolescents’ mental map. Through a specially designed web application, university students and secondary school pupils estimated the real proportion of countries and continents compared to Europe. Participants with a more theoretical background or wider knowledge about map projections and its distortions estimated the real proportions more accurately. This research also found that the Robinson projection, commonly used in schoolbooks and atlases, is the best-known map projection among adolescents. However, the influence of web maps could not be proven since no Mercator effect was found. Education is of undeniable importance, and therefore, educational materials that encourage people to look more carefully and critically at maps should be further developed. Numéro de notice : A2020-804 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2019.1660512 Date de publication en ligne : 02/03/2020 En ligne : https://doi.org/10.1080/00087041.2019.1660512 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96762
in Cartographic journal (the) > Vol 57 n° 3 (August 2020) . - pp 221 - 234[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2020031 RAB Revue Centre de documentation En réserve L003 Disponible Inspire : un investissement rapidement rentabilisé / Anonyme in Géomètre, n° 2182 (juillet - août 2020)PermalinkIntegrated edge detection and terrain analysis for agricultural terrace delineation from remote sensing images / Wen Dai in International journal of geographical information science IJGIS, vol 34 n° 3 (March 2020)PermalinkData scale as cartography: a semi-automatic approach for thematic web map creation / Auriol Degbelo in Cartography and Geographic Information Science, vol 47 n° 2 (February 2020)PermalinkCreation of inspirational Web Apps that demonstrate the functionalities offered by the ArcGIS API for JavaScript / Arthur Genet (2020)PermalinkDéveloppement d’outils ad-hoc open source pour des applications Web cartographiques / Bruno Verchère (2020)PermalinkPermalinkInitiatives for Providing Data and Tools for Research and Education: EuroSDR survey / Bénédicte Bucher (2020)PermalinkPermalinkRapport d'activité 2019 de l'Institut National de l'Information Géographique et Forestière IGN / Institut national de l'information géographique et forestière (2012 -) (2020)PermalinkBertin’s graphic variables and online map makers: an empirical study of maps produced by prosumers and cartographers / Natalia Ipatow in Cartographica, vol 54 n° 4 (Winter 2019)PermalinkA two-scale approach for estimating forest aboveground biomass with optical remote sensing images in a subtropical forest of Nepal / Upama A. Koju in Journal of Forestry Research, vol 30 n° 6 (December 2019)PermalinkMultiple-view geospatial comparison using web-based virtual globes / Liangfeng Zhu in ISPRS Journal of photogrammetry and remote sensing, vol 156 (October 2019)PermalinkBridging open source tools and geoportals for interactive spatial data analytics / Bing She in Geo-spatial Information Science, vol 22 n° 3 (August 2019)PermalinkMultiscale cartographic visualization of harmonized datasets / Peter Kunz in International journal of cartography, vol 5 n° 2-3 (July - November 2019)PermalinkA bevy of area-preserving transforms for map projection designers / Daniel "daan" Strebe in Cartography and Geographic Information Science, vol 46 n° 3 (May 2019)PermalinkDe la carte de Cassini à la géoplateforme de l’État / Daniel Bursaux in Responsabilité et environnement, n° 94 (Avril 2019)PermalinkiTowns, le nouveau moteur de visualisation 3D de données géospatiales du Géoportail / Mirela Konini in Responsabilité et environnement, n° 94 (Avril 2019)PermalinkA topographically preserved road‐network tile model and optimal routing method for virtual globes / Quanhua Dong in Transactions in GIS, vol 23 n° 2 (April 2019)PermalinkLe big data foncier / Patrick Bezard-Falgas in Géomètre, n° 2167 (mars 2019)PermalinkSpinning the wheel of design: evaluating geoportal Graphical User Interface adaptations in terms of human-centred design / Charalampos Gkonos in International journal of cartography, vol 5 n° 1 (March 2019)Permalink