Improving crop yield prediction under extreme drought using stress-aware sample stratification and spatiotemporal meta-learning
Improving crop yield prediction under extreme drought using stress-aware sample stratification and spatiotemporal meta-learning。Agricultural Systems
关注点
该方法通过胁迫感知样本分层与时空元学习提升极端干旱情景下的产量预测精度，适用于干旱频发区的估产建模，但结论依赖特定数据集，跨区域推广需再验证。
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