Sowing the seeds for practical multimodal crop yield prediction: A systematic review with recommendations for future work

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

核心期刊系统综述，梳理多模态作物产量预测方法并给出未来研究方向，对农业AI研究有参考价值，但非突破性成果。

关注点

该综述系统梳理多模态数据融合用于作物产量预测的方法体系，并提出面向实际应用的后续研究建议，可作为方法选型与研究方向参考，但不提供新的实证结果。

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

Natalie Hollain / Sheng Wang / René Gislum

Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2026.112567

论文摘要

Sowing the seeds for practical multimodal crop yield prediction: A systematic review with recommendations for future work。Computers and Electronics in Agriculture

论文原文与出版信息

Computers and Electronics in Agriculture

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农业人工智能遥感

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智慧农业产量预测多模态数据

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