Resultados de búsqueda - S9 (classification)

  1. Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques por Munera, Sandra, Gómez-Sanchís, Juan, Aleixos, Nuria, Vila-Francés, Joan, Colelli, Giancarlo, Cubero, Sergio, Soler, Esteban, Blasco, José

    Publicado 2021
    “…In the first approach the fruit pixels were classified into two classes, sound or defect, with a 97.5% rate of success; in the second the defective features were considered internal or external defects, achieving a 96.7% rate of success; and in the third approach each type of defect, i.e. purple spot, bruising, scars and flesh browning, were considered separately with a correct classification rate of 95.9%. The results indicated that the XGBoost classifier was the best method in all cases.…”
    Enlace del recurso
    Enlace del recurso
    Artículo
  2. Salt Tolerance Diversity in Citrus Rootstocks Agrees with Genotypic Diversity at the LCl-6 Quantitative Trait Locus por Asins, María J., Raga, Verónica, Romero-Aranda, María R., Jaime-Fernández, Emilio, Carbonell, Emilio A., Belver, Andres

    Publicado 2025
    “…However, differences in their ability to restrict leaf [Na+] were evident, contributing to a classification of trifoliate and sour orange accessions that matched their genotypic grouping based on allele sharing at a marker targeting candidate gene coding for the NPF5.9 transporter within LCL-6 quantitative trait locus. …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  3. An assessment of the accuracy of volunteered road map production in Western Kenya por Leeuw, Jan de, Said, Mohammed Yahya, Ortegah, L., Nagda, S.M., Georgiadou, Y., DeBlois, M.

    Publicado 2011
    “…Professional surveyors and laymen without local knowledge achieved lower accuracies of 67.7% and 42.9% respectively. We argue that local knowledge is also likely to improve the classification accuracy of many other attributes featured in topographic maps and thus conclude that there is reason to consider engaging local expertise in the production and updating of topographic maps.…”
    Enlace del recurso
    Journal Article
  4. Test and application of a vegetation-based CO2 and CH4 flux estimate from three ombrogenic and topogenic peatlands in Southern Germany por Weber, Birgit

    Publicado 2010
    “…Mean CO2 and CH4 emissions of 9,7 t CO2e ha-1 yr-1 were estimated in the study area. …”
    H2
  5. Change detection of Sri Ram Sagar Project-1 command area using geospatial tools por Pranay, Panjala

    Publicado 2017
    “…Sri Rama Sagar Project is I is a multipurpose project constructed across the Godavari River near Pochampad (V) Balkonda (M) Nizamabad (District) during 1964 which is envisaged to irrigate an ayacut of 9, 68,640 Acres covering erstwhile four Districts viz, (Nizamabad, Adilabad, Karimnagar and Warangal) of Telangana and the dam was also meant for generating ( 4*9 MW ) 36MW power of which 3*9MW are already constructed and operational. …”
    Enlace del recurso
    Tesis
  6. Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning por Vélez-Rivera, Nayeli, Gómez-Sanchís, Juan, Chanona-Perez, Jorge, Carrasco, Juan José, Millán-Giraldo, Mónica, Lorente, Delia, Cubero, Sergio, Blasco, José

    Publicado 2017
    “…A 97.9% rate of correct classification of pixels was achieved on the third day after the damage had been caused using k-Nearest Neighbours and the whole spectra and the figure dropped to 91.4% when only the most discriminant bands were used.…”
    Enlace del recurso
    Artículo
  7. Establishment of water protection areas por Wahtra, Julia

    Publicado 2019
    “…Groundwater services were identified by a novel classification system for biotic and abiotic surface and groundwater services, developed based on an extensive literature review. …”
    Enlace del recurso
    Second cycle, A2E

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