Interpretable multi-branch fusion GRU framework for wheat yield prediction using multi-source phenological remote sensing time series

Computers and Electronics in Agriculture一手来源 · 原始研究11月1日 · 周日阅读 0

核心看点

提出可解释多分支融合GRU模型，融合多源物候遥感时序预测小麦产量，方法有新颖性但属单篇论文，产业影响有限。

关注点

该框架以多分支GRU融合多源物候遥感时序并强调可解释性，适用于区域尺度小麦估产研究；结论可靠性仍受样本区域与年份跨度限制，推广前需跨区验证。

发布主体的原始资料；自述数据与结论仍以原文限定为准。

论文信息

Xiaobin Yan / Yanxia Chen / Xingxing Qiao 等 7 人

Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2026.112660

论文摘要

Interpretable multi-branch fusion GRU framework for wheat yield prediction using multi-source phenological remote sensing time series。Computers and Electronics in Agriculture

论文原文与出版信息

Computers and Electronics in Agriculture

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技术

农业人工智能遥感

其他

智慧农业产量预测小麦

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