Institute of Agrifood Research and Technology

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.CVShow all

1 paper · 1 filter

cs.CV2025

Transforming Hyperspectral Images Into Chemical Maps: A Novel End-to-End Deep Learning Approach

Ole-Christian Galbo Engstrøm, Michela Albano-Gaglio, Erik Schou Dreier +4

Current approaches to chemical map generation from hyperspectral images are based on models such as partial least squares (PLS) regression, generating pixel-wise predictions that d…