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Updated: Sep 18, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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葡萄园灌的未来:来自物联网数据的AI驱动洞察力

Simona Stojanova1, Mojca Volk1, Gregor Balkovec1

  • 1Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, 1000 Ljubljana, Slovenia.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

准确的灌量预测对于可持续农业至关重要. 与线性回归相比,长短期记忆 (LSTM) 模型显著提高了长期灌预测的准确性.

关键词:
这是LSTM的LSTM.物联网的东西互联网.灌预测 灌预测线性回归是一种线性回归.传感器 传感器 传感器可持续农业 可持续农业

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