DACIA5: a Sentinel-1 and Sentinel-2 dataset for agricultural crop identification applications

DACIA5: a Sentinel-1 and Sentinel-2 dataset for agricultural crop identification applications

Artificial intelligence and data analysis are essential in smart agriculture for enhancing crop productivity and food security. However, progress in this field is often limited by the lack of specialized, error-free labeled datasets. This paper introduces DACIA5, a multispectral image dataset for ag...

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Bibliographic Details
Main Authors: A. Băicoianu, I. C. Plajer, M. Debu, M. Ștefan, M. Ivanovici, C. Florea, A. Cațaron, R. M. Coliban, Ș. Popa, Ș. Oprișescu, A. Racovițeanu, Gh. Olteanu, K. Marandskiy, A. Ghinea, A. Kazak, L. Majercsik, A. Manea, L. Dogar
Format: Article
Language:English
Published: Taylor & Francis Group 2025-06-01
Series:Big Earth Data
Subjects:
Sentinel-2 data
Sentinel-1 data
smart agriculture
artificial intelligence
crop identification
early crop identification
Online Access:https://www.tandfonline.com/doi/10.1080/20964471.2025.2512685
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https://www.tandfonline.com/doi/10.1080/20964471.2025.2512685

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