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Updated: May 22, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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复合干旱热极端指数预测模型的解释性:伊朗的一项区域研究

Mahnoosh Moghaddasi1,2, Kimia Naderi3, Mansour Moradi4

  • 1Department of Water Science and Engineering, Faculty of Agriculture and Environment, Arak University, Arak, Iran. mah_moghaddasi@hotmail.com.

Environmental science and pollution research international
|March 17, 2025
PubMed
概括

一个新的综合干旱热极端指数 (CDHEI) 有效地监测了伊朗各地同时发生的干旱和热极端. 机器学习模型,特别是组合方法,准确地预测了这个指数,突出了温度和降水量.

关键词:
在CDHEII中,你会发现.在CP-PD中,CP-PD是最重要的.片的功能是片的功能.伊朗 伊朗 伊朗 伊朗在MLP中,MLP是MLP.这是一个SMTI,SMTI.这是一个SPI SPI.

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