Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Computers and Electronics in Agriculture Year : 2023

Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods

Domains

Environmental Sciences
Fichier principal
Vignette du fichier
Desloires-2023.pdf (1.88 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Licence : CC BY - Attribution

Sylvie Blin-Sarah  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-04087506

Submitted on : Wednesday, May 3, 2023-12:27:18 PM

Last modification on : Wednesday, July 12, 2023-5:08:48 AM

Long-term archiving on: Friday, August 4, 2023-6:34:24 PM

Download

Dates and versions

hal-04087506 , version 1 (03-05-2023)

Licence

Attribution

Identifiers

Cite

Johann Desloires, Dino Ienco, Antoine Botrel. Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods. Computers and Electronics in Agriculture, 2023, 209, pp.107807. ⟨10.1016/j.compag.2023.107807⟩. ⟨hal-04087506⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CIRAD AGROPARISTECH CNRS TETIS INRAE INRAEOCCITANIEMONTPELLIER ACT MATHNUM RESEAU-TELEDETECTION-INRAE
12 View
12 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More