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Browsing by Subject "Deep learning"

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  • A deep learning approach to population structure inference in inbred lines of maize 

    López-Cortés, Xaviera A.; Matamala, Felipe; Maldonado, Carlos; Mora-Poblete, Freddy; Scapim, Carlos A. (2020)
    Analysis of population genetic variation and structure is a common practice for genome-wide studies, including association mapping, ecology, and evolution studies in several crop species. In this study, machine learning ...

  • A review of convolutional neural network applied to fruit image processing 

    Naranjo-Torres, José; Mora, Marco ORCID; Hernández-García, Ruber; Barrientos, Ricardo ORCID; Fredes, Claudio ORCID; Valenzuela-Keller, Andrés A. (2020)
    Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...