Multi-Year Time Series Transfer Learning: Application of Early Crop Classification

Multi-Year Time Series Transfer Learning: Application of Early Crop Classification

Crop classification is an important task in remote sensing with many applications, such as estimating yields, detecting crop diseases and pests, and ensuring food security. In this study, we combined knowledge from remote sensing, machine learning, and agriculture to investigate the application of t...

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Bibliographic Details
Main Authors: Matej Račič, Krištof Oštir, Anže Zupanc, Luka Čehovin Zajc
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
satellite image time series
crop type mapping
early classification
transformers
transfer learning
Slovenia
Online Access:https://www.mdpi.com/2072-4292/16/2/270

Internet

https://www.mdpi.com/2072-4292/16/2/270

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