Evaluation of the Use of the 12 Bands vs. NDVI from Sentinel-2 Images for Crop Identification

Today, machine learning applied to remote sensing data is used for crop detection. This makes it possible to not only monitor crops but also to detect pests, a lack of irrigation, or other problems. For systems that require high accuracy in crop identification, a large amount of data is required to...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Adolfo Lozano-Tello, Guillermo Siesto, Marcos Fernández-Sellers, Andres Caballero-Mancera
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Subjects:	remote sensing crop classification machine learning deep neural networks Sentinel-2 satellite imagery
Online Access:	https://www.mdpi.com/1424-8220/23/16/7132