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光学相干断层扫描(OCT)结合机器学习实现小麦真菌感染的早期无创诊断
研究人员针对小麦真菌病害早期检测难题,创新性地采用低成本光学相干断层扫描 (OCT)技术,结合机器学习 (ML)分析,实现了对Septoria tritici感染的超早期(接种后2天)识别。该技术通过监测叶肉细胞间隙形态变化,比传统光谱检测提前5-6天发现无症状感染,为精准农业中的病害防控提供了突破性解决方案。
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