Dynamic graph learning framework based seasonal and trend decomposition approach for potato crop evapotranspiration prediction

Abstract Efficient estimation of crop water requirements (ETc) is important for sustainable agricultural water management, particularly under increasing climate variability. Traditional methods lack a comprehensive analysis of dynamic patterns associated with crop evapotranspiration factors. To addr...

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Autors principals:	Saad Javed Cheema, Mohammed Diykh, Mumtaz Ali, Aitazaz A. Farooque, Raheleh Malekian, Shoaib Rashid Saleem, Lakshman W. Galagedara, Rehan Sadiq, Gurjit S. Randhawa, Qamar Uz Zaman
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-12-01
Col·lecció:	Scientific Reports
Matèries:	Potato crop water requirement Dynamic graph Contrastive Learning MLP Soil moisture dynamics Evapotranspiration coefficient
Accés en línia:	https://doi.org/10.1038/s41598-025-28592-4
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