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Peer-reviewedCC BYPlants (Basel, Switzerland)

Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction

  • Elias Horácio Zavala1
  • Gabriel Araújo e Silva Ferraz1
  • Felipe Andrés Obando Vega2
  • Mirian de Lourdes Oliveira1
  • Milene Alves de Figueiredo Carvalho3
  • Samuel Henrique Braga da Cunha4
  • Andrea Pagliai4
  • Daniele Sarri4
4 affiliations
  1. 1Department of Agricultural Engineering (DEA), School of Engineering (EENG), (UFLA), Lavras 37203-202, MG, Brazil; (E.H.Z.); (M.d.L.O.)
  2. 2Faculty of Engineering and Agricultural Sciences, Digital University Institution of Antioquia (IU Digital), Medellín 050015, Antioquia, Colombia;
  3. 3Embrapa Café, Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Brasília 70770-901, DF, Brazil;
  4. 4Department of Agriculture, Food, Environment and Forestry (DAGRI), , 50145 Florence, Italy; (S.H.B.d.C.); (A.P.); (D.S.)
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Cite

BibTeXRIS
BibTeX
@article{zavala2026aerial,
  title = {{Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction}},
  author = {Elias Horácio Zavala and Gabriel Araújo e Silva Ferraz and Felipe Andrés Obando Vega and Mirian de Lourdes Oliveira and Milene Alves de Figueiredo Carvalho and Samuel Henrique Braga da Cunha and Andrea Pagliai and Daniele Sarri},
  journal = {Plants (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13666658},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction
AU  - Elias Horácio Zavala
AU  - Gabriel Araújo e Silva Ferraz
AU  - Felipe Andrés Obando Vega
AU  - Mirian de Lourdes Oliveira
AU  - Milene Alves de Figueiredo Carvalho
AU  - Samuel Henrique Braga da Cunha
AU  - Andrea Pagliai
AU  - Daniele Sarri
PY  - 2026
DA  - 2026/10/01
JO  - Plants (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13666658
SN  - 2223-7747
ER  -