Resultados de búsqueda - "computer vision"

  1. OrchardQuant-3D: Combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards por Xia, Yunpeng, Li, Hanghang, Zhang, Fanhang, Sun, Gang, Qi, Kaijie, Jackson, Robert, Pinheiro, Felipe, Liu, Xiaoman, Mu, Yue, Zhang, Shaoling, Deakin, Greg, Whitfield, E. Charles, Tao, Shutian, Zhou, Ji

    Publicado 2025
    “…Then, we utilised precise global navigation satellite system signals to position trees in orchards with millimetre-level accuracy, enabling tree-level analysis of key canopy (e.g. crown volume and the number or branches) and floral traits (e.g. blossom clusters and volumes) using 3D computer vision, complex graph theory and feature engineering techniques. …”
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    Journal Article
  2. Application of near Infrared Spectroscopy to the Quality Control of Citrus Fruits and Mango por Blasco, José, Lorente, Delia, Cortés, Victoria, Talens, Pau, Cubero, Sergio, Munera, Sandra, Aleixos, Nuria

    Publicado 2021
    “…We have been working on the estimation of the quality of fruits using computer vision for more than twenty years, always focused on problems that affect the local industry. …”
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    Artículo
  3. SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique por De La Vega, Gerardo, Smith, Luciano, Soria-Mercier, Lihuen, Edwards, Wilson, Triñanes, Federico, Masagué, Santiago, Corley, Juan Carlos

    Publicado 2025
    “…This study presents SIT-ia, a software–hardware system that utilizes artificial intelligence (AI) and computer vision to automate the sex-sorting process. We showcase its use with the fruit fly pest D. suzukii. …”
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    Artículo
  4. Gait screening using a mobile phone application por Martinsson, Jonna

    Publicado 2022
    “…In total, 58 horses were recorded using a computer vision tool for gait analysis at the horse inspections at one FEI long format eventing competition. …”
    Enlace del recurso
    Second cycle, A2E

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