Sudenaz Senbay

A query-aware CNN-transformer framework for multi-temporal crop classification and phenological stage estimation using Sentinel-2 time series

This study presents a high performance deep learning framework for multi-temporal agricultural monitoring using satellite image time series. A hybrid query-aware CNN-transformer architecture (C03) is proposed to jointly perform crop type classification and rice phenology stage prediction within a unified multitask lear...