Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring
研究基于地面高光谱与机器学习反演水稻叶片铅含量，并探索跨尺度遥感监测的最优建模路径。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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Synergistic effects of spectral preprocessing and machine learning algorithms for nitrogen estimation in tomato using hyperspectral spectral data
用高光谱成像结合预处理与机器学习，对番茄叶片氮素水平进行分类。
A Review of Agricultural Intelligent Architecture: The Application and Challenges of Artificial Intelligence in Agricultural Perception, Decision-Making, and Execution（MDPI Applied Sciences 2026, 16(12), 5865）
综述农业人工智能在感知、决策、执行中的应用与挑战，提出未来研究方向。