output
20182025
most citedDeep learning in agriculture: A survey

5.1k citations

8 papers

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…

eess.SP2024

Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms

Mónica Mora, Lucile Riaboff, Ingrid David +2

This study explores how wearable accelerometers, small devices that measure acceleration, can help monitor the activity of growing rabbits. We equipped 16 rabbits with these device…

physics.soc-ph2023★ 31 cited

Human mobility is well described by closed-form gravity-like models learned automatically from data

Oriol Cabanas-Tirapu, Lluís Danús, Esteban Moro +2

Modeling of human mobility is critical to address questions in urban planning and transportation, as well as global challenges in sustainability, public health, and economic develo…

astro-ph.IM2023★ 1 cited

Closing the loop as an inverse problem: the real-time control of THEMIS adaptive optics

Éric Thiébaut, Michel Tallon, Isabelle Tallon-Bosc +4

We have taken advantage of the implementation of an adaptive optics system on the Themis solar telescope to implement innovative strategies based on an inverse problem formulation…

physics.soc-ph2020

Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach

Andreas Kamilaris, Andries Engelbrecht, Andreas Pitsillides +1

Intensive livestock production might have a negative environmental impact, by producing large amounts of animal excrements, which, if not properly managed, can contaminate nearby w…

q-bio.QM2020★ 67 cited

Effects of rearing density on growth, digestive conditions, welfare indicators and gut bacterial community of gilthead sea bream (Sparus aurata, L. 1758) fed different fishmeal and fish oil dietary levels

L. Parma, N. F. Pelusio, E. Gisbert +7

In Mediterranean aquaculture little research has examined the interaction between rearing density and dietary composition on main key performance indicators, physiological processe…

cs.CY2019★ 1.3k cited

The Rise of Blockchain Technology in Agriculture and Food Supply Chains

Andreas Kamilaris, Agusti Fonts, Francesc X. Prenafeta-Boldu

Blockchain is an emerging digital technology allowing ubiquitous financial transactions among distributed untrusted parties, without the need of intermediaries such as banks. This…

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…