Crop Identification Using Deep Learning on LUCAS Crop Cover Photos

Crop Identification Using Deep Learning on LUCAS Crop Cover Photos

Massive and high-quality in situ data are essential for Earth-observation-based agricultural monitoring. However, field surveying requires considerable organizational effort and money. Using computer vision to recognize crop types on geo-tagged photos could be a game changer allowing for the provisi...

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Bibliographic Details
Main Authors: Momchil Yordanov, Raphaël d’Andrimont, Laura Martinez-Sanchez, Guido Lemoine, Dominique Fasbender, Marijn van der Velde
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
plant recognition
agriculture
computer vision
deep learning
data valorization
mapping from imagery
Online Access:https://www.mdpi.com/1424-8220/23/14/6298

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