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WMA-YieldNet: A weather-modulated attention network for cross-year winter wheat yield prediction using multi-stage hyperspectral data
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DOI：10.1016/j.compag.2026.112268.png)
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Abstract
En 中文
• WMA-YieldNet integrates multi-stage canopy spectra and weather data. • WMA-YieldNet enables explainable cross-year winter wheat yield prediction. • FiLM modulation improves adaptation to interannual environmental variation. • Stage attention reveals heterogeneous contributions of key growth stages. • Weather importance analysis identifies critical environmental yield drivers.
Keywords:
Winter wheat
Cross-year yield prediction
Canopy hyperspectra
Meteorological modulation
Stage attention
Precision agriculture
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