{
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  "affiliations": [
    "Department of Agricultural Engineering (DEA), School of Engineering (EENG), (UFLA), Lavras 37203-202, MG, Brazil; (E.H.Z.); (M.d.L.O.)",
    "Faculty of Engineering and Agricultural Sciences, Digital University Institution of Antioquia (IU Digital), Medellín 050015, Antioquia, Colombia;",
    "Embrapa Café, Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Brasília 70770-901, DF, Brazil;",
    "Department of Agriculture, Food, Environment and Forestry (DAGRI), , 50145 Florence, Italy; (S.H.B.d.C.); (A.P.); (D.S.)"
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      "name": "Elias Horácio Zavala"
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      "name": "Felipe Andrés Obando Vega"
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      "name": "Mirian de Lourdes Oliveira"
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      "name": "Milene Alves de Figueiredo Carvalho"
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      "name": "Samuel Henrique Braga da Cunha"
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      "name": "Andrea Pagliai"
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  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13666658/pdf/?tool=EBI",
  "pmcid": "PMC13666658",
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  "published": "2026-10-01",
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  "subjects": [
    {
      "field": "biology",
      "origin": "journal-openalex:1110|Plant Stress Responses and Tolerance",
      "subfield": "plant-biology"
    }
  ],
  "title": "Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction",
  "title_text": "Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction",
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  "updated_at": "2026-10-30T12:17:31Z",
  "url": "https://research.draconitic.com/paper/crs4t154yfnhg",
  "venue": "Plants (Basel, Switzerland)",
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