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Updated: Jan 9, 2026

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基于季节性和趋势分解方法的动态图表学习框架,用于土豆作物蒸发透气的预测

Saad Javed Cheema1,2, Mohammed Diykh1,2,3, Mumtaz Ali4

  • 1School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, PE, Canada.

Scientific reports
|December 3, 2025
PubMed
概括

一个新的双图形语义融合 (DG-DGSF) 模型通过分析动态模式来改进作物用水需求 (ETc) 估计. 这种先进的方法为可持续的农业水资源管理提供了更准确的预测.

关键词:
相反的学习学习.动态图表的动态图表蒸发转化系数的发生率.在MLP中,MLP是MLP.马作物用水需求 马作物用水需求季节性分解的分解土壤湿度动态 土壤湿度动态这是一个趋势趋势趋势.

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