An exploratory early-assessment framework for crop yield and quality based on multi-source sensor data fusion and explainable machine learning: A case study of rice under low-light stress
An exploratory early-assessment framework for crop yield and quality based on multi-source sensor data fusion and explainable machine learning: A case study of rice under low-light stress。Smart Agricultural Technology
关注点
该框架将多源传感器数据与可解释机器学习结合，用于水稻弱光胁迫下产量与品质的早期评估，适用于设施或可控环境下的苗期预警探索，尚需多品种多区域验证。
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