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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Autori principali:	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
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-12-01
Serie:	Scientific Reports
Soggetti:	Potato crop water requirement Dynamic graph Contrastive Learning MLP Soil moisture dynamics Evapotranspiration coefficient
Accesso online:	https://doi.org/10.1038/s41598-025-28592-4
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