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institution

Institute of Agrifood Research and Technology

Spain

8 papers here6.5k citations across 8
fields
  • physics.soc-ph2
  • astro-ph.IM1
  • cs.CV1
  • cs.CY1
  • cs.LG1
  • eess.SP1
  • q-bio.QM1
ROR 012zh9h13OpenAlex

affiliations via OpenAlex

output
20182025
most citedDeep learning in agriculture: A survey

5.1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • A. Kamilaris3 · h 25
  • F. Prenafeta-Boldú3 · h 29
  • A. Bonaldo1 · h 28
  • A. Engelbrecht1 · h 62
  • Agusti Fonts1 · h 3
  • A. Pitsillides1 · h 41
  • B. Gelly1 · h 16
  • E. Dreier1 · h 9
  • Enric Gisbert1 · h 2
  • Esteban Moro1 · h 2
  • É. Thiébaut1 · h 31
  • F. D’Amico1 · h 24
collaborating institutions
  • Centre de Recherche Astrophysique de LyonFR1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • École Normale Supérieure de LyonFR1 paper
  • Génétique Physiologie et Systèmes d'ElevageFR1 paper
  • Institut National de la Recherche AgronomiqueMA1 paper
  • IT University of CopenhagenDK1 paper
  • Lyon 1 UniversitéFR1 paper
  • Massachusetts Institute of TechnologyUS1 paper
  • Natural History Museum AarhusDK1 paper
  • Northeastern UniversityUS1 paper
  • Stellenbosch UniversityZA1 paper
  • Universidad de MurciaES1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2018★ 5.1k cited

Deep learning in agriculture: A survey

Andreas Kamilaris, Francesc X. Prenafeta-Boldu

Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. As deep learning has been successfully appl…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.