Physiological profiling of Botrytis induced responses in faba bean using proximal hyperspectral data: An assessment of in-season disease severity and post-harvest grain quality

Smart Agricultural Technology一手来源 · 原始研究10月1日 · 周四阅读 0

核心看点

基于近端高光谱数据评估蚕豆灰霉病胁迫与籽粒品质的原始研究，方法有一定新意，但属细分作物场景，公共影响有限。

关注点

该研究用近端高光谱数据关联蚕豆花期灰霉病严重度与收获后籽粒品质，可为病害无损监测与品质分级提供建模思路，但样本与田间验证范围需看原文确认。

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

Yidan Tang / Tomas Poblete / Glenn J Fitzgerald 等 6 人

Smart Agricultural Technology

DOI: 10.1016/j.atech.2026.102682

论文摘要

Physiological profiling of Botrytis induced responses in faba bean using proximal hyperspectral data: An assessment of in-season disease severity and post-harvest grain quality。Smart Agricultural Technology

论文原文与出版信息

Smart Agricultural Technology

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技术

高光谱遥感

其他

智慧农业病害监测种子品质蚕豆

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论文摘要

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