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Updated: Feb 4, 2026

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在温室滴灌的番茄和菜中使用叶子流动力学和机器学习进行水状态诊断

Quanyue Xu1,2, Ruixia Chen1,2, Xufeng Li1,2

  • 1College of Water Resource Science and Engineering, Taiyuan University of Technology, Taiyuan, China.

Frontiers in plant science
|February 2, 2026
PubMed
概括

一个新的叶片补丁压力 (LPCP) 探针非侵入性地监测作物水的状态. 机器学习模型准确地预测了滴灌番茄和菜的水应力,从而实现了精确的灌.

关键词:
随机的森林 随机的森林温室作物 温室作物叶子的压力 压力植物水的状况 植物水的状况精密灌灌的方法

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